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ArXiv QA

(TBD) Automated ArXiv question answering via large language models

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List of Papers

2023

September 2023

• SlimPajama-DC: Understanding Data Combinations for LLM Training - [ArXiv] [QA].
• OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch - [ArXiv] [QA].
• Language Modeling Is Compression - [ArXiv] [QA].
• FoleyGen: Visually-Guided Audio Generation - [ArXiv] [QA].
• Baichuan 2: Open Large-scale Language Models - [ArXiv] [QA].
• 360$^\circ$ Reconstruction From a Single Image Using Space Carved Outpainting - [ArXiv] [QA].
• Stabilizing RLHF through Advantage Model and Selective Rehearsal - [ArXiv] [QA].
• Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions - [ArXiv] [QA].
• Multimodal Foundation Models: From Specialists to General-Purpose Assistants - [ArXiv] [QA].
• MindAgent: Emergent Gaming Interaction - [ArXiv] [QA].
• An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models - [ArXiv] [QA].
• Adapting Large Language Models via Reading Comprehension - [ArXiv] [QA].
• LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models - [ArXiv] [QA].
• CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages - [ArXiv] [QA].
• Augmenting text for spoken language understanding with Large Language Models - [ArXiv] [QA].
• OWL: A Large Language Model for IT Operations - [ArXiv] [QA].
• Contrastive Decoding Improves Reasoning in Large Language Models - [ArXiv] [QA].
• Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT) - [ArXiv] [QA].
• Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data? - [ArXiv] [QA].
• PDFTriage: Question Answering over Long, Structured Documents - [ArXiv] [QA].
• S3-DST: Structured Open-Domain Dialogue Segmentation and State Tracking in the Era of LLMs - [ArXiv] [QA].
• Stack-and-Delay: a new codebook pattern for music generation - [ArXiv] [QA].
• Enhance audio generation controllability through representation similarity regularization - [ArXiv] [QA].
• Sparse Autoencoders Find Highly Interpretable Features in Language Models - [ArXiv] [QA].
• Compositional Foundation Models for Hierarchical Planning - [ArXiv] [QA].
• Replacing softmax with ReLU in Vision Transformers - [ArXiv] [QA].
• Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers - [ArXiv] [QA].
• Scaling Laws for Sparsely-Connected Foundation Models - [ArXiv] [QA].
• Cure the headache of Transformers via Collinear Constrained Attention - [ArXiv] [QA].
• Investigating Answerability of LLMs for Long-Form Question Answering - [ArXiv] [QA].
• LASER: LLM Agent with State-Space Exploration for Web Navigation - [ArXiv] [QA].
• Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding - [ArXiv] [QA].
• Retrieval-Augmented Text-to-Audio Generation - [ArXiv] [QA].
• Leveraging Contextual Information for Effective Entity Salience Detection - [ArXiv] [QA].
• Viewpoint Textual Inversion: Unleashing Novel View Synthesis with Pretrained 2D Diffusion Models - [ArXiv] [QA].
• A Data Source for Reasoning Embodied Agents - [ArXiv] [QA].
• Language Embedded Radiance Fields for Zero-Shot Task-Oriented Grasping - [ArXiv] [QA].
• ALWOD: Active Learning for Weakly-Supervised Object Detection - [ArXiv] [QA].
• Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning - [ArXiv] [QA].
• TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting - [ArXiv] [QA].
• Generative Image Dynamics - [ArXiv] [QA].
• Ambiguity-Aware In-Context Learning with Large Language Models - [ArXiv] [QA].
• Agents: An Open-source Framework for Autonomous Language Agents - [ArXiv] [QA].
• TextBind: Multi-turn Interleaved Multimodal Instruction-following - [ArXiv] [QA].
• OmnimatteRF: Robust Omnimatte with 3D Background Modeling - [ArXiv] [QA].
• Efficiently Robustify Pre-trained Models - [ArXiv] [QA].
• EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization - [ArXiv] [QA].
• Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation? - [ArXiv] [QA].
• Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts - [ArXiv] [QA].
• Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance - [ArXiv] [QA].
• AudioSR: Versatile Audio Super-resolution at Scale - [ArXiv] [QA].
• Text-Guided Generation and Editing of Compositional 3D Avatars - [ArXiv] [QA].
• Tree-Structured Shading Decomposition - [ArXiv] [QA].
• SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection - [ArXiv] [QA].
• DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models - [ArXiv] [QA].
• MagiCapture: High-Resolution Multi-Concept Portrait Customization - [ArXiv] [QA].
• Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? - [ArXiv] [QA].
• Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly - [ArXiv] [QA].
• Dynamic NeRFs for Soccer Scenes - [ArXiv] [QA].
• MPI-Flow: Learning Realistic Optical Flow with Multiplane Images - [ArXiv] [QA].
• VLSlice: Interactive Vision-and-Language Slice Discovery - [ArXiv] [QA].
• Generalizable Neural Fields as Partially Observed Neural Processes - [ArXiv] [QA].
• Statistical Rejection Sampling Improves Preference Optimization - [ArXiv] [QA].
• A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale - [ArXiv] [QA].
• Learning Disentangled Avatars with Hybrid 3D Representations - [ArXiv] [QA].
• LEAP Hand: Low-Cost, Efficient, and Anthropomorphic Hand for Robot Learning - [ArXiv] [QA].
• InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation - [ArXiv] [QA].
• Recovering from Privacy-Preserving Masking with Large Language Models - [ArXiv] [QA].
• Modality Unifying Network for Visible-Infrared Person Re-Identification - [ArXiv] [QA].
• Efficient Memory Management for Large Language Model Serving with PagedAttention - [ArXiv] [QA].
• AstroLLaMA: Towards Specialized Foundation Models in Astronomy - [ArXiv] [QA].
• Uncovering mesa-optimization algorithms in Transformers - [ArXiv] [QA].
• Large Language Models for Compiler Optimization - [ArXiv] [QA].
• SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors - [ArXiv] [QA].
• PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models - [ArXiv] [QA].
• Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips - [ArXiv] [QA].
• Large Language Model for Science: A Study on P vs. NP - [ArXiv] [QA].
• UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase - [ArXiv] [QA].
• ITI-GEN: Inclusive Text-to-Image Generation - [ArXiv] [QA].
• NExT-GPT: Any-to-Any Multimodal LLM - [ArXiv] [QA].
• Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs - [ArXiv] [QA].
• Textbooks Are All You Need II: phi-1.5 technical report - [ArXiv] [QA].
• Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning - [ArXiv] [QA].
• Class-Incremental Grouping Network for Continual Audio-Visual Learning - [ArXiv] [QA].
• Multi3DRefer: Grounding Text Description to Multiple 3D Objects - [ArXiv] [QA].
• Towards Viewpoint Robustness in Bird's Eye View Segmentation - [ArXiv] [QA].
• Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color - [ArXiv] [QA].
• 3D Implicit Transporter for Temporally Consistent Keypoint Discovery - [ArXiv] [QA].
• Multi-view Self-supervised Disentanglement for General Image Denoising - [ArXiv] [QA].
• Mitigating Word Bias in Zero-shot Prompt-based Classifiers - [ArXiv] [QA].
• Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation - [ArXiv] [QA].
• Effective Real Image Editing with Accelerated Iterative Diffusion Inversion - [ArXiv] [QA].
• Neurons in Large Language Models: Dead, N-gram, Positional - [ArXiv] [QA].
• Towards Real-World Burst Image Super-Resolution: Benchmark and Method - [ArXiv] [QA].
• Towards Robust Model Watermark via Reducing Parametric Vulnerability - [ArXiv] [QA].
• FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning - [ArXiv] [QA].
• MADLAD-400: A Multilingual And Document-Level Large Audited Dataset - [ArXiv] [QA].
• Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf - [ArXiv] [QA].
• Dynamic Mesh-Aware Radiance Fields - [ArXiv] [QA].
• When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale - [ArXiv] [QA].
• Examining Autoexposure for Challenging Scenes - [ArXiv] [QA].
• Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving - [ArXiv] [QA].
• DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields - [ArXiv] [QA].
• Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts - [ArXiv] [QA].
• The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion - [ArXiv] [QA].
• From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting - [ArXiv] [QA].
• Towards Practical Capture of High-Fidelity Relightable Avatars - [ArXiv] [QA].
• Unsupervised Object Localization with Representer Point Selection - [ArXiv] [QA].
• Evaluation and Mitigation of Agnosia in Multimodal Large Language Models - [ArXiv] [QA].
• CDFSL-V: Cross-Domain Few-Shot Learning for Videos - [ArXiv] [QA].
• ImageBind-LLM: Multi-modality Instruction Tuning - [ArXiv] [QA].
• Tracking Anything with Decoupled Video Segmentation - [ArXiv] [QA].
• Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction - [ArXiv] [QA].
• The Making and Breaking of Camouflage - [ArXiv] [QA].
• ProPainter: Improving Propagation and Transformer for Video Inpainting - [ArXiv] [QA].
• InstructDiffusion: A Generalist Modeling Interface for Vision Tasks - [ArXiv] [QA].
• DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models - [ArXiv] [QA].
• FLM-101B: An Open LLM and How to Train It with $100K Budget - [ArXiv] [QA].
• Panoramas from Photons - [ArXiv] [QA].
• SimNP: Learning Self-Similarity Priors Between Neural Points - [ArXiv] [QA].
• Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption - [ArXiv] [QA].
• Large-Scale Automatic Audiobook Creation - [ArXiv] [QA].
• Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning - [ArXiv] [QA].
• Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model - [ArXiv] [QA].
• Reuse and Diffuse: Iterative Denoising for Text-to-Video Generation - [ArXiv] [QA].
• Temporal Collection and Distribution for Referring Video Object Segmentation - [ArXiv] [QA].
• SyncDreamer: Generating Multiview-consistent Images from a Single-view Image - [ArXiv] [QA].
• Large Language Models as Optimizers - [ArXiv] [QA].
• Distribution-Aware Prompt Tuning for Vision-Language Models - [ArXiv] [QA].
• Robotic Table Tennis: A Case Study into a High Speed Learning System - [ArXiv] [QA].
• Matcha-TTS: A fast TTS architecture with conditional flow matching - [ArXiv] [QA].
• Bayes' Rays: Uncertainty Quantification for Neural Radiance Fields - [ArXiv] [QA].
• SLiMe: Segment Like Me - [ArXiv] [QA].
• ResFields: Residual Neural Fields for Spatiotemporal Signals - [ArXiv] [QA].
• MyoDex: A Generalizable Prior for Dexterous Manipulation - [ArXiv] [QA].
• Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction - [ArXiv] [QA].
• GPT Can Solve Mathematical Problems Without a Calculator - [ArXiv] [QA].
• Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning - [ArXiv] [QA].
• Physically Grounded Vision-Language Models for Robotic Manipulation - [ArXiv] [QA].
• A skeletonization algorithm for gradient-based optimization - [ArXiv] [QA].
• GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction - [ArXiv] [QA].
• Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach - [ArXiv] [QA].
• EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding - [ArXiv] [QA].
• Doppelgangers: Learning to Disambiguate Images of Similar Structures - [ArXiv] [QA].
• Generating Realistic Images from In-the-wild Sounds - [ArXiv] [QA].
• Prototype-based Dataset Comparison - [ArXiv] [QA].
• CIEM: Contrastive Instruction Evaluation Method for Better Instruction Tuning - [ArXiv] [QA].
• Multi-label affordance mapping from egocentric vision - [ArXiv] [QA].
• Iterative Superquadric Recomposition of 3D Objects from Multiple Views - [ArXiv] [QA].
• Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples - [ArXiv] [QA].
• RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image - [ArXiv] [QA].
• NICE: CVPR 2023 Challenge on Zero-shot Image Captioning - [ArXiv] [QA].
• Empowering Low-Light Image Enhancer through Customized Learnable Priors - [ArXiv] [QA].
• Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations - [ArXiv] [QA].
• Are Emergent Abilities in Large Language Models just In-Context Learning? - [ArXiv] [QA].
• Mask-Attention-Free Transformer for 3D Instance Segmentation - [ArXiv] [QA].
• AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion - [ArXiv] [QA].
• Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification - [ArXiv] [QA].
• EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity - [ArXiv] [QA].
• SOAR: Scene-debiasing Open-set Action Recognition - [ArXiv] [QA].
• Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning - [ArXiv] [QA].
• LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models - [ArXiv] [QA].
• EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment - [ArXiv] [QA].
• Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration - [ArXiv] [QA].
• CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection - [ArXiv] [QA].
• Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning - [ArXiv] [QA].
• ModelScope-Agent: Building Your Customizable Agent System with Open-source Large Language Models - [ArXiv] [QA].
• eDKM: An Efficient and Accurate Train-time Weight Clustering for Large Language Models - [ArXiv] [QA].
• Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation - [ArXiv] [QA].
• Domain Generalization via Balancing Training Difficulty and Model Capability - [ArXiv] [QA].
• Few shot font generation via transferring similarity guided global style and quantization local style - [ArXiv] [QA].
• Instability of the solitary waves for the Generalized Benjamin-Bona-Mahony Equation - [ArXiv] [QA].
• Contrastive Feature Masking Open-Vocabulary Vision Transformer - [ArXiv] [QA].
• Searching for a Leptophilic Z' and a 3-3-1 symmetry at CLIC - [ArXiv] [QA].
• Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following - [ArXiv] [QA].
• CityDreamer: Compositional Generative Model of Unbounded 3D Cities - [ArXiv] [QA].
• Rieger, Schwabe, Suess-de Vries: The Sunny Beats of Resonance - [ArXiv] [QA].
• VideoGen: A Reference-Guided Latent Diffusion Approach for High Definition Text-to-Video Generation - [ArXiv] [QA].
• Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior - [ArXiv] [QA].
• RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback - [ArXiv] [QA].
• A Massively Parallel Dynamic Programming for Approximate Rectangle Escape Problem - [ArXiv] [QA].
• Object-Centric Multiple Object Tracking - [ArXiv] [QA].
• Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation - [ArXiv] [QA].
• Pseudo-magnetic fields in square lattices - [ArXiv] [QA].
• Empirical Modeling of Variance in Medium Frequency R-Mode Time-of-Arrival Measurements - [ArXiv] [QA].

August 2023

• Block occurrences in the binary expansion - [ArXiv] [QA].
• YaRN: Efficient Context Window Extension of Large Language Models - [ArXiv] [QA].
• SoDaCam: Software-defined Cameras via Single-Photon Imaging - [ArXiv] [QA].
• FACET: Fairness in Computer Vision Evaluation Benchmark - [ArXiv] [QA].
• PointLLM: Empowering Large Language Models to Understand Point Clouds - [ArXiv] [QA].
• StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation - [ArXiv] [QA].
• InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion - [ArXiv] [QA].
• EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild - [ArXiv] [QA].
• GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields - [ArXiv] [QA].
• TouchStone: Evaluating Vision-Language Models by Language Models - [ArXiv] [QA].
• The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants - [ArXiv] [QA].
• SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation - [ArXiv] [QA].
• Coarse-to-Fine Amodal Segmentation with Shape Prior - [ArXiv] [QA].
• Can Programming Languages Boost Each Other via Instruction Tuning? - [ArXiv] [QA].
• Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models - [ArXiv] [QA].
• Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images - [ArXiv] [QA].
• Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images - [ArXiv] [QA].
• MVDream: Multi-view Diffusion for 3D Generation - [ArXiv] [QA].
• PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction - [ArXiv] [QA].
• Sparkles: Unlocking Chats Across Multiple Images for Multimodal Instruction-Following Models - [ArXiv] [QA].
• Improving Lens Flare Removal with General Purpose Pipeline and Multiple Light Sources Recovery - [ArXiv] [QA].
• BioCoder: A Benchmark for Bioinformatics Code Generation with Contextual Pragmatic Knowledge - [ArXiv] [QA].
• Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff - [ArXiv] [QA].
• Emergence of Segmentation with Minimalistic White-Box Transformers - [ArXiv] [QA].
• Active Neural Mapping - [ArXiv] [QA].
• Learning Vision-based Pursuit-Evasion Robot Policies - [ArXiv] [QA].
• SAM-Med2D - [ArXiv] [QA].
• MMVP: Motion-Matrix-based Video Prediction - [ArXiv] [QA].
• LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models - [ArXiv] [QA].
• Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion - [ArXiv] [QA].
• RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation - [ArXiv] [QA].
• WALL-E: Embodied Robotic WAiter Load Lifting with Large Language Model - [ArXiv] [QA].
• LLaSM: Large Language and Speech Model - [ArXiv] [QA].
• Reconstructing Groups of People with Hypergraph Relational Reasoning - [ArXiv] [QA].
• Introducing Language Guidance in Prompt-based Continual Learning - [ArXiv] [QA].
• WeatherBench 2: A benchmark for the next generation of data-driven global weather models - [ArXiv] [QA].
• Canonical Factors for Hybrid Neural Fields - [ArXiv] [QA].
• Shatter and Gather: Learning Referring Image Segmentation with Text Supervision - [ArXiv] [QA].
• Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation - [ArXiv] [QA].
• CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation - [ArXiv] [QA].
• Evaluation and Analysis of Hallucination in Large Vision-Language Models - [ArXiv] [QA].
• Learning to Upsample by Learning to Sample - [ArXiv] [QA].
• Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery - [ArXiv] [QA].
• Exploring Model Transferability through the Lens of Potential Energy - [ArXiv] [QA].
• Pose-Free Neural Radiance Fields via Implicit Pose Regularization - [ArXiv] [QA].
• Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models - [ArXiv] [QA].
• Vision Grid Transformer for Document Layout Analysis - [ArXiv] [QA].
• LLM-Based Human-Robot Collaboration Framework for Manipulation Tasks - [ArXiv] [QA].
• Read-only Prompt Optimization for Vision-Language Few-shot Learning - [ArXiv] [QA].
• NSF: Neural Surface Fields for Human Modeling from Monocular Depth - [ArXiv] [QA].
• CLNeRF: Continual Learning Meets NeRF - [ArXiv] [QA].
• Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond - [ArXiv] [QA].
• R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras - [ArXiv] [QA].
• S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction - [ArXiv] [QA].
• Referring Image Segmentation Using Text Supervision - [ArXiv] [QA].
• LAC: Latent Action Composition for Skeleton-based Action Segmentation - [ArXiv] [QA].
• Priority-Centric Human Motion Generation in Discrete Latent Space - [ArXiv] [QA].
• Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor - [ArXiv] [QA].
• Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection - [ArXiv] [QA].
• HoloFusion: Towards Photo-realistic 3D Generative Modeling - [ArXiv] [QA].
• Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks - [ArXiv] [QA].
• Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers - [ArXiv] [QA].
• Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario - [ArXiv] [QA].
• MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records - [ArXiv] [QA].
• 4D Myocardium Reconstruction with Decoupled Motion and Shape Model - [ArXiv] [QA].
• Reconstructing Interacting Hands with Interaction Prior from Monocular Images - [ArXiv] [QA].
• Nonrigid Object Contact Estimation With Regional Unwrapping Transformer - [ArXiv] [QA].
• Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection - [ArXiv] [QA].
• Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation - [ArXiv] [QA].
• Calibrating Panoramic Depth Estimation for Practical Localization and Mapping - [ArXiv] [QA].
• LDL: Line Distance Functions for Panoramic Localization - [ArXiv] [QA].
• Prior-guided Source-free Domain Adaptation for Human Pose Estimation - [ArXiv] [QA].
• Late Stopping: Avoiding Confidently Learning from Mislabeled Examples - [ArXiv] [QA].
• Beyond One-to-One: Rethinking the Referring Image Segmentation - [ArXiv] [QA].
• Point-Query Quadtree for Crowd Counting, Localization, and More - [ArXiv] [QA].
• ORES: Open-vocabulary Responsible Visual Synthesis - [ArXiv] [QA].
• Generalized Lightness Adaptation with Channel Selective Normalization - [ArXiv] [QA].
• MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree - [ArXiv] [QA].
• ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning - [ArXiv] [QA].
• Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers - [ArXiv] [QA].
• Position-Enhanced Visual Instruction Tuning for Multimodal Large Language Models - [ArXiv] [QA].
• Nougat: Neural Optical Understanding for Academic Documents - [ArXiv] [QA].
• SoTaNa: The Open-Source Software Development Assistant - [ArXiv] [QA].
• Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning - [ArXiv] [QA].
• Relighting Neural Radiance Fields with Shadow and Highlight Hints - [ArXiv] [QA].
• Distribution-Aligned Diffusion for Human Mesh Recovery - [ArXiv] [QA].
• ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis - [ArXiv] [QA].
• SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation - [ArXiv] [QA].
• Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation - [ArXiv] [QA].
• Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory - [ArXiv] [QA].
• ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking - [ArXiv] [QA].
• MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning - [ArXiv] [QA].
• IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization - [ArXiv] [QA].
• Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model - [ArXiv] [QA].
• OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models - [ArXiv] [QA].
• MLLM-DataEngine: An Iterative Refinement Approach for MLLM - [ArXiv] [QA].
• Preserving Modality Structure Improves Multi-Modal Learning - [ArXiv] [QA].
• NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes - [ArXiv] [QA].
• Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation - [ArXiv] [QA].
• Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities - [ArXiv] [QA].
• Dense Text-to-Image Generation with Attention Modulation - [ArXiv] [QA].
• Motion-Guided Masking for Spatiotemporal Representation Learning - [ArXiv] [QA].
• Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment - [ArXiv] [QA].
• Code Llama: Open Foundation Models for Code - [ArXiv] [QA].
• Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? - [ArXiv] [QA].
• On Offline Evaluation of 3D Object Detection for Autonomous Driving - [ArXiv] [QA].
• LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition - [ArXiv] [QA].
• VIGC: Visual Instruction Generation and Correction - [ArXiv] [QA].
• A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions - [ArXiv] [QA].
• Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation - [ArXiv] [QA].
• Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects - [ArXiv] [QA].
• Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation - [ArXiv] [QA].
• Hyperbolic Audio-visual Zero-shot Learning - [ArXiv] [QA].
• Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking - [ArXiv] [QA].
• Masked Autoencoders are Efficient Class Incremental Learners - [ArXiv] [QA].
• CGMI: Configurable General Multi-Agent Interaction Framework - [ArXiv] [QA].
• With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning - [ArXiv] [QA].
• Vision Transformer Adapters for Generalizable Multitask Learning - [ArXiv] [QA].
• AdVerb: Visually Guided Audio Dereverberation - [ArXiv] [QA].
• Continual Zero-Shot Learning through Semantically Guided Generative Random Walks - [ArXiv] [QA].
• Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation - [ArXiv] [QA].
• CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images - [ArXiv] [QA].
• Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning - [ArXiv] [QA].
• SG-Former: Self-guided Transformer with Evolving Token Reallocation - [ArXiv] [QA].
• CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No - [ArXiv] [QA].
• Sign Language Translation with Iterative Prototype - [ArXiv] [QA].
• SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels - [ArXiv] [QA].
• DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration - [ArXiv] [QA].
• Aligning Language Models with Offline Reinforcement Learning from Human Feedback - [ArXiv] [QA].
• Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages - [ArXiv] [QA].
• RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D - [ArXiv] [QA].
• From Instructions to Intrinsic Human Values -- A Survey of Alignment Goals for Big Models - [ArXiv] [QA].
• RankMixup: Ranking-Based Mixup Training for Network Calibration - [ArXiv] [QA].
• Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields - [ArXiv] [QA].
• LFS-GAN: Lifelong Few-Shot Image Generation - [ArXiv] [QA].
• ACLS: Adaptive and Conditional Label Smoothing for Network Calibration - [ArXiv] [QA].
• Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification - [ArXiv] [QA].
• Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack - [ArXiv] [QA].
• SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets - [ArXiv] [QA].
• Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch - [ArXiv] [QA].
• Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts - [ArXiv] [QA].
• Understanding Hessian Alignment for Domain Generalization - [ArXiv] [QA].
• Efficient Controllable Multi-Task Architectures - [ArXiv] [QA].
• Delving into Motion-Aware Matching for Monocular 3D Object Tracking - [ArXiv] [QA].
• StoryBench: A Multifaceted Benchmark for Continuous Story Visualization - [ArXiv] [QA].
• SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation - [ArXiv] [QA].
• Multi-event Video-Text Retrieval - [ArXiv] [QA].
• TrackFlow: Multi-Object Tracking with Normalizing Flows - [ArXiv] [QA].
• Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition - [ArXiv] [QA].
• Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection - [ArXiv] [QA].
• A Survey on Large Language Model based Autonomous Agents - [ArXiv] [QA].
• ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes - [ArXiv] [QA].
• How Much Temporal Long-Term Context is Needed for Action Segmentation? - [ArXiv] [QA].
• Exemplar-Free Continual Transformer with Convolutions - [ArXiv] [QA].
• ProAgent: Building Proactive Cooperative AI with Large Language Models - [ArXiv] [QA].
• GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training - [ArXiv] [QA].
• CiteTracker: Correlating Image and Text for Visual Tracking - [ArXiv] [QA].
• CNN based Cuneiform Sign Detection Learned from Annotated 3D Renderings and Mapped Photographs with Illumination Augmentation - [ArXiv] [QA].
• HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations - [ArXiv] [QA].
• ROSGPT_Vision: Commanding Robots Using Only Language Models' Prompts - [ArXiv] [QA].
• LDP-Feat: Image Features with Local Differential Privacy - [ArXiv] [QA].
• DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment - [ArXiv] [QA].
• ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data - [ArXiv] [QA].
• Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models - [ArXiv] [QA].
• MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation - [ArXiv] [QA].
• ReFit: Recurrent Fitting Network for 3D Human Recovery - [ArXiv] [QA].
• Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation - [ArXiv] [QA].
• Domain Generalization via Rationale Invariance - [ArXiv] [QA].
• Efficient View Synthesis with Neural Radiance Distribution Field - [ArXiv] [QA].
• LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction - [ArXiv] [QA].
• CAME: Contrastive Automated Model Evaluation - [ArXiv] [QA].
• Recursive Video Lane Detection - [ArXiv] [QA].
• MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers - [ArXiv] [QA].
• Video OWL-ViT: Temporally-consistent open-world localization in video - [ArXiv] [QA].
• Audio-Visual Class-Incremental Learning - [ArXiv] [QA].
• TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection - [ArXiv] [QA].
• Neural Amortized Inference for Nested Multi-agent Reasoning - [ArXiv] [QA].
• MetaGCD: Learning to Continually Learn in Generalized Category Discovery - [ArXiv] [QA].
• UnLoc: A Unified Framework for Video Localization Tasks - [ArXiv] [QA].
• Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction - [ArXiv] [QA].
• Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images - [ArXiv] [QA].
• Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation - [ArXiv] [QA].
• Can Language Models Learn to Listen? - [ArXiv] [QA].
• EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition - [ArXiv] [QA].
• Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction - [ArXiv] [QA].
• Improving Continuous Sign Language Recognition with Cross-Lingual Signs - [ArXiv] [QA].
• MGMAE: Motion Guided Masking for Video Masked Autoencoding - [ArXiv] [QA].
• Instruction Tuning for Large Language Models: A Survey - [ArXiv] [QA].
• WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models - [ArXiv] [QA].
• On the Adversarial Robustness of Multi-Modal Foundation Models - [ArXiv] [QA].
• Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction - [ArXiv] [QA].
• Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification - [ArXiv] [QA].
• A step towards understanding why classification helps regression - [ArXiv] [QA].
• Image-free Classifier Injection for Zero-Shot Classification - [ArXiv] [QA].
• CHORD: Category-level Hand-held Object Reconstruction via Shape Deformation - [ArXiv] [QA].
• Self-Feedback DETR for Temporal Action Detection - [ArXiv] [QA].
• Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations - [ArXiv] [QA].
• QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection - [ArXiv] [QA].
• Texture Generation on 3D Meshes with Point-UV Diffusion - [ArXiv] [QA].
• ADNet: Lane Shape Prediction via Anchor Decomposition - [ArXiv] [QA].
• STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning - [ArXiv] [QA].
• Privacy-Preserving Face Recognition Using Random Frequency Components - [ArXiv] [QA].
• Explore and Tell: Embodied Visual Captioning in 3D Environments - [ArXiv] [QA].
• When Prompt-based Incremental Learning Does Not Meet Strong Pretraining - [ArXiv] [QA].
• X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events - [ArXiv] [QA].
• GPT-in-the-Loop: Adaptive Decision-Making for Multiagent Systems - [ArXiv] [QA].
• Diffusion Model as Representation Learner - [ArXiv] [QA].
• Simple Baselines for Interactive Video Retrieval with Questions and Answers - [ArXiv] [QA].
• Strata-NeRF : Neural Radiance Fields for Stratified Scenes - [ArXiv] [QA].
• Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos - [ArXiv] [QA].
• Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting - [ArXiv] [QA].
• DVGaze: Dual-View Gaze Estimation - [ArXiv] [QA].
• Representation Disparity-aware Distillation for 3D Object Detection - [ArXiv] [QA].
• Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation - [ArXiv] [QA].
• Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video - [ArXiv] [QA].
• DomainAdaptor: A Novel Approach to Test-time Adaptation - [ArXiv] [QA].
• DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization - [ArXiv] [QA].
• CharacterChat: Learning towards Conversational AI with Personalized Social Support - [ArXiv] [QA].
• StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data - [ArXiv] [QA].
• GeT: Generative Target Structure Debiasing for Domain Adaptation - [ArXiv] [QA].
• ViT-Lens: Towards Omni-modal Representations - [ArXiv] [QA].
• Neural Interactive Keypoint Detection - [ArXiv] [QA].
• VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation - [ArXiv] [QA].
• FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory - [ArXiv] [QA].
• Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection - [ArXiv] [QA].
• ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer - [ArXiv] [QA].
• OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision - [ArXiv] [QA].
• ExpeL: LLM Agents Are Experiential Learners - [ArXiv] [QA].
• March in Chat: Interactive Prompting for Remote Embodied Referring Expression - [ArXiv] [QA].
• TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective - [ArXiv] [QA].
• 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation - [ArXiv] [QA].
• HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation - [ArXiv] [QA].
• Robust Mixture-of-Expert Training for Convolutional Neural Networks - [ArXiv] [QA].
• Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos - [ArXiv] [QA].
• Single Image Reflection Separation via Component Synergy - [ArXiv] [QA].
• Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation - [ArXiv] [QA].
• Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts - [ArXiv] [QA].
• ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment - [ArXiv] [QA].
• Disposable Transfer Learning for Selective Source Task Unlearning - [ArXiv] [QA].
• Tackling Vision Language Tasks Through Learning Inner Monologues - [ArXiv] [QA].
• Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos - [ArXiv] [QA].
• Scene-Aware Feature Matching - [ArXiv] [QA].
• Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling - [ArXiv] [QA].
• On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion - [ArXiv] [QA].
• Understanding Self-attention Mechanism via Dynamical System Perspective - [ArXiv] [QA].
• BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions - [ArXiv] [QA].
• MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition - [ArXiv] [QA].
• VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations - [ArXiv] [QA].
• Scalable Video Object Segmentation with Simplified Framework - [ArXiv] [QA].
• SwinLSTM:Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM - [ArXiv] [QA].
• Calibrating Uncertainty for Semi-Supervised Crowd Counting - [ArXiv] [QA].
• Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders - [ArXiv] [QA].
• A Theory of Topological Derivatives for Inverse Rendering of Geometry - [ArXiv] [QA].
• How susceptible are LLMs to Logical Fallacies? - [ArXiv] [QA].
• VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control - [ArXiv] [QA].
• Long-range Multimodal Pretraining for Movie Understanding - [ArXiv] [QA].
• Smoothness Similarity Regularization for Few-Shot GAN Adaptation - [ArXiv] [QA].
• Robust Monocular Depth Estimation under Challenging Conditions - [ArXiv] [QA].
• LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark - [ArXiv] [QA].
• ChatHaruhi: Reviving Anime Character in Reality via Large Language Model - [ArXiv] [QA].
• StableVideo: Text-driven Consistency-aware Diffusion Video Editing - [ArXiv] [QA].
• WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct - [ArXiv] [QA].
• PUMGPT: A Large Vision-Language Model for Product Understanding - [ArXiv] [QA].
• Meta-ZSDETR: Zero-shot DETR with Meta-learning - [ArXiv] [QA].
• Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning - [ArXiv] [QA].
• Leveraging Intrinsic Properties for Non-Rigid Garment Alignment - [ArXiv] [QA].
• ResQ: Residual Quantization for Video Perception - [ArXiv] [QA].
• Vision Relation Transformer for Unbiased Scene Graph Generation - [ArXiv] [QA].
• MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection - [ArXiv] [QA].
• Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization - [ArXiv] [QA].
• DReg-NeRF: Deep Registration for Neural Radiance Fields - [ArXiv] [QA].
• Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events - [ArXiv] [QA].
• Open-vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models - [ArXiv] [QA].
• RLIPv2: Fast Scaling of Relational Language-Image Pre-training - [ArXiv] [QA].
• Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching - [ArXiv] [QA].
• Audio-Visual Glance Network for Efficient Video Recognition - [ArXiv] [QA].
• Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation - [ArXiv] [QA].
• Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge - [ArXiv] [QA].
• DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability - [ArXiv] [QA].
• Human Part-wise 3D Motion Context Learning for Sign Language Recognition - [ArXiv] [QA].
• NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning - [ArXiv] [QA].
• Self-Calibrated Cross Attention Network for Few-Shot Segmentation - [ArXiv] [QA].
• Diverse Cotraining Makes Strong Semi-Supervised Segmentor - [ArXiv] [QA].
• Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos - [ArXiv] [QA].
• Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos - [ArXiv] [QA].
• SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos - [ArXiv] [QA].
• ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation - [ArXiv] [QA].
• Generalized Sum Pooling for Metric Learning - [ArXiv] [QA].
• FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning - [ArXiv] [QA].
• The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation - [ArXiv] [QA].
• ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection - [ArXiv] [QA].
• SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning - [ArXiv] [QA].
• Reinforced Self-Training (ReST) for Language Modeling - [ArXiv] [QA].
• Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction - [ArXiv] [QA].
• Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification - [ArXiv] [QA].
• Event-Guided Procedure Planning from Instructional Videos with Text Supervision - [ArXiv] [QA].
• Towards Semi-supervised Learning with Non-random Missing Labels - [ArXiv] [QA].
• Spatially and Spectrally Consistent Deep Functional Maps - [ArXiv] [QA].
• Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling - [ArXiv] [QA].
• Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction - [ArXiv] [QA].
• MixBag: Bag-Level Data Augmentation for Learning from Label Proportions - [ArXiv] [QA].
• Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts - [ArXiv] [QA].
• Long-Range Grouping Transformer for Multi-View 3D Reconstruction - [ArXiv] [QA].
• V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints - [ArXiv] [QA].
• TeCH: Text-guided Reconstruction of Lifelike Clothed Humans - [ArXiv] [QA].
• MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions - [ArXiv] [QA].
• Learning to Distill Global Representation for Sparse-View CT - [ArXiv] [QA].
• ALIP: Adaptive Language-Image Pre-training with Synthetic Caption - [ArXiv] [QA].
• Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer - [ArXiv] [QA].
• Agglomerative Transformer for Human-Object Interaction Detection - [ArXiv] [QA].
• Membrane Potential Batch Normalization for Spiking Neural Networks - [ArXiv] [QA].
• Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations - [ArXiv] [QA].
• Dual-Stream Diffusion Net for Text-to-Video Generation - [ArXiv] [QA].
• SceNeRFlow: Time-Consistent Reconstruction of General Dynamic Scenes - [ArXiv] [QA].
• MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation - [ArXiv] [QA].
• Inherent Redundancy in Spiking Neural Networks - [ArXiv] [QA].
• Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network - [ArXiv] [QA].
• Unsupervised Domain Adaptive Detection with Network Stability Analysis - [ArXiv] [QA].
• Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis - [ArXiv] [QA].
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework - [ArXiv] [QA].
• GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds - [ArXiv] [QA].
• OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution - [ArXiv] [QA].
• View Consistent Purification for Accurate Cross-View Localization - [ArXiv] [QA].
• DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory - [ArXiv] [QA].
• Teach LLMs to Personalize -- An Approach inspired by Writing Education - [ArXiv] [QA].
• CoDeF: Content Deformation Fields for Temporally Consistent Video Processing - [ArXiv] [QA].
• RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models - [ArXiv] [QA].
• Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification - [ArXiv] [QA].
• Helping Hands: An Object-Aware Ego-Centric Video Recognition Model - [ArXiv] [QA].
• Relightable and Animatable Neural Avatar from Sparse-View Video - [ArXiv] [QA].
• Memory-and-Anticipation Transformer for Online Action Understanding - [ArXiv] [QA].
• Link-Context Learning for Multimodal LLMs - [ArXiv] [QA].
• ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces - [ArXiv] [QA].
• StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models - [ArXiv] [QA].
• ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition - [ArXiv] [QA].
• Learning to Identify Critical States for Reinforcement Learning from Videos - [ArXiv] [QA].
• DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding - [ArXiv] [QA].
• Identity-Consistent Aggregation for Video Object Detection - [ArXiv] [QA].
• UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation - [ArXiv] [QA].
• DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models - [ArXiv] [QA].
• Boosting Multi-modal Model Performance with Adaptive Gradient Modulation - [ArXiv] [QA].
• Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval - [ArXiv] [QA].
• Backpropagation Path Search On Adversarial Transferability - [ArXiv] [QA].
• Story Visualization by Online Text Augmentation with Context Memory - [ArXiv] [QA].
• 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack - [ArXiv] [QA].
• DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation - [ArXiv] [QA].
• Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt Engineering - [ArXiv] [QA].
• Text Injection for Capitalization and Turn-Taking Prediction in Speech Models - [ArXiv] [QA].
• PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects - [ArXiv] [QA].
• Platypus: Quick, Cheap, and Powerful Refinement of LLMs - [ArXiv] [QA].
• Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation - [ArXiv] [QA].
• Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation - [ArXiv] [QA].
• The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation - [ArXiv] [QA].
• RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs - [ArXiv] [QA].
• Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning - [ArXiv] [QA].
• ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate - [ArXiv] [QA].
• OctoPack: Instruction Tuning Code Large Language Models - [ArXiv] [QA].
• CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation - [ArXiv] [QA].
• Masked Motion Predictors are Strong 3D Action Representation Learners - [ArXiv] [QA].
• S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields - [ArXiv] [QA].
• ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion - [ArXiv] [QA].
• Global Features are All You Need for Image Retrieval and Reranking - [ArXiv] [QA].
• Knowing Where to Focus: Event-aware Transformer for Video Grounding - [ArXiv] [QA].
• CBA: Improving Online Continual Learning via Continual Bias Adaptor - [ArXiv] [QA].
• CausalLM is not optimal for in-context learning - [ArXiv] [QA].
• Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking - [ArXiv] [QA].
• Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization - [ArXiv] [QA].
• SpeechX: Neural Codec Language Model as a Versatile Speech Transformer - [ArXiv] [QA].
• RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks - [ArXiv] [QA].
• Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning - [ArXiv] [QA].
• Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches - [ArXiv] [QA].
• Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan - [ArXiv] [QA].
• AerialVLN: Vision-and-Language Navigation for UAVs - [ArXiv] [QA].
• IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models - [ArXiv] [QA].
• Compositional Feature Augmentation for Unbiased Scene Graph Generation - [ArXiv] [QA].
• Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation - [ArXiv] [QA].
• Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training - [ArXiv] [QA].
• 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking - [ArXiv] [QA].
• VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use - [ArXiv] [QA].
• Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction - [ArXiv] [QA].
• Revisiting Vision Transformer from the View of Path Ensemble - [ArXiv] [QA].
• SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning - [ArXiv] [QA].
• BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation - [ArXiv] [QA].
• One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training - [ArXiv] [QA].
• Tiny and Efficient Model for the Edge Detection Generalization - [ArXiv] [QA].
• Multi-Label Knowledge Distillation - [ArXiv] [QA].
• Detecting and Preventing Hallucinations in Large Vision Language Models - [ArXiv] [QA].
• U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds - [ArXiv] [QA].
• Enhancing Network Management Using Code Generated by Large Language Models - [ArXiv] [QA].
• Self-Alignment with Instruction Backtranslation - [ArXiv] [QA].
• FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods - [ArXiv] [QA].
• Improving Joint Speech-Text Representations Without Alignment - [ArXiv] [QA].
• Composable Function-preserving Expansions for Transformer Architectures - [ArXiv] [QA].
• BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents - [ArXiv] [QA].
• PIPPA: A Partially Synthetic Conversational Dataset - [ArXiv] [QA].
• PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs - [ArXiv] [QA].
• Follow Anything: Open-set detection, tracking, and following in real-time - [ArXiv] [QA].
• AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining - [ArXiv] [QA].
• FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models - [ArXiv] [QA].
• PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers - [ArXiv] [QA].
• 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds - [ArXiv] [QA].
• Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network - [ArXiv] [QA].
• Cross-Domain Product Representation Learning for Rich-Content E-Commerce - [ArXiv] [QA].
• Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation - [ArXiv] [QA].
• LLM As DBA - [ArXiv] [QA].
• Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation - [ArXiv] [QA].
• Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation - [ArXiv] [QA].
• SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data - [ArXiv] [QA].
• Learning Gabor Texture Features for Fine-Grained Recognition - [ArXiv] [QA].
• Enhancing Trust in LLM-Based AI Automation Agents: New Considerations and Future Challenges - [ArXiv] [QA].
• Interaction-aware Joint Attention Estimation Using People Attributes - [ArXiv] [QA].
• Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment - [ArXiv] [QA].
• Flexible Isosurface Extraction for Gradient-Based Mesh Optimization - [ArXiv] [QA].
• Pseudo-label Alignment for Semi-supervised Instance Segmentation - [ArXiv] [QA].
• OpenProteinSet: Training data for structural biology at scale - [ArXiv] [QA].
• RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation - [ArXiv] [QA].
• Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI - [ArXiv] [QA].
• LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation - [ArXiv] [QA].
• Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution - [ArXiv] [QA].
• Robust Object Modeling for Visual Tracking - [ArXiv] [QA].
• IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models - [ArXiv] [QA].
• Foreground Object Search by Distilling Composite Image Feature - [ArXiv] [QA].
• Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation - [ArXiv] [QA].
• SelectNAdapt: Support Set Selection for Few-Shot Domain Adaptation - [ArXiv] [QA].
• WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields - [ArXiv] [QA].
• PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration - [ArXiv] [QA].
• Objects do not disappear: Video object detection by single-frame object location anticipation - [ArXiv] [QA].
• Bird's-Eye-View Scene Graph for Vision-Language Navigation - [ArXiv] [QA].
• JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models - [ArXiv] [QA].
• GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization - [ArXiv] [QA].
• Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising - [ArXiv] [QA].
• Accelerating LLM Inference with Staged Speculative Decoding - [ArXiv] [QA].
• Rendering Humans from Object-Occluded Monocular Videos - [ArXiv] [QA].
• Shepherd: A Critic for Language Model Generation - [ArXiv] [QA].
• LATR: 3D Lane Detection from Monocular Images with Transformer - [ArXiv] [QA].
• FocalFormer3D : Focusing on Hard Instance for 3D Object Detection - [ArXiv] [QA].
• Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation - [ArXiv] [QA].
• DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds - [ArXiv] [QA].
• 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment - [ArXiv] [QA].
• Exploring Transformers for Open-world Instance Segmentation - [ArXiv] [QA].
• D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation - [ArXiv] [QA].
• Under-Display Camera Image Restoration with Scattering Effect - [ArXiv] [QA].
• Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions - [ArXiv] [QA].
• OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation - [ArXiv] [QA].
• 3D Gaussian Splatting for Real-Time Radiance Field Rendering - [ArXiv] [QA].
• Gentopia: A Collaborative Platform for Tool-Augmented LLMs - [ArXiv] [QA].
• AgentSims: An Open-Source Sandbox for Large Language Model Evaluation - [ArXiv] [QA].
• Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning - [ArXiv] [QA].
• Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval - [ArXiv] [QA].
• PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection - [ArXiv] [QA].
• TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models - [ArXiv] [QA].
• From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal - [ArXiv] [QA].
• 3D Motion Magnification: Visualizing Subtle Motions with Time Varying Radiance Fields - [ArXiv] [QA].
• Tiny LVLM-eHub: Early Multimodal Experiments with Bard - [ArXiv] [QA].
• AgentBench: Evaluating LLMs as Agents - [ArXiv] [QA].
• Learning Concise and Descriptive Attributes for Visual Recognition - [ArXiv] [QA].
• FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision - [ArXiv] [QA].
• Lighting Every Darkness in Two Pairs: A Calibration-Free Pipeline for RAW Denoising - [ArXiv] [QA].
• GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images - [ArXiv] [QA].
• Heterogeneous Forgetting Compensation for Class-Incremental Learning - [ArXiv] [QA].
• Dual Aggregation Transformer for Image Super-Resolution - [ArXiv] [QA].
• Foundation Model based Open Vocabulary Task Planning and Executive System for General Purpose Service Robots - [ArXiv] [QA].
• SciGraphQA: A Large-Scale Synthetic Multi-Turn Question-Answering Dataset for Scientific Graphs - [ArXiv] [QA].
• Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation - [ArXiv] [QA].
• A Benchmark for Chinese-English Scene Text Image Super-resolution - [ArXiv] [QA].
• Source-free Domain Adaptive Human Pose Estimation - [ArXiv] [QA].
• Prototypes-oriented Transductive Few-shot Learning with Conditional Transport - [ArXiv] [QA].
• Learning Fine-Grained Features for Pixel-wise Video Correspondences - [ArXiv] [QA].
• Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection - [ArXiv] [QA].
• An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability - [ArXiv] [QA].
• Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation - [ArXiv] [QA].
• Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis - [ArXiv] [QA].
• EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education - [ArXiv] [QA].
• DeDrift: Robust Similarity Search under Content Drift - [ArXiv] [QA].
• MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities - [ArXiv] [QA].
• Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization - [ArXiv] [QA].
• The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World - [ArXiv] [QA].
• DETR Doesn't Need Multi-Scale or Locality Design - [ArXiv] [QA].
• Scaling Relationship on Learning Mathematical Reasoning with Large Language Models - [ArXiv] [QA].
• RegionBLIP: A Unified Multi-modal Pre-training Framework for Holistic and Regional Comprehension - [ArXiv] [QA].
• Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport - [ArXiv] [QA].
• Ambient Adventures: Teaching ChatGPT on Developing Complex Stories - [ArXiv] [QA].
• LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment - [ArXiv] [QA].
• InterAct: Exploring the Potentials of ChatGPT as a Cooperative Agent - [ArXiv] [QA].
• Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation - [ArXiv] [QA].
• MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies - [ArXiv] [QA].
• Multimodal Neurons in Pretrained Text-Only Transformers - [ArXiv] [QA].
• TDMD: A Database for Dynamic Color Mesh Subjective and Objective Quality Explorations - [ArXiv] [QA].
• Target-point Attention Transformer: A novel trajectory predict network for end-to-end autonomous driving - [ArXiv] [QA].
• Efficient neural supersampling on a novel gaming dataset - [ArXiv] [QA].
• HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions - [ArXiv] [QA].
• On $κ$-solutions and canonical neighborhoods in 4d Ricci flow - [ArXiv] [QA].
• OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models - [ArXiv] [QA].
• DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales - [ArXiv] [QA].
• Computational Long Exposure Mobile Photography - [ArXiv] [QA].
• More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes - [ArXiv] [QA].
• Revisiting DETR Pre-training for Object Detection - [ArXiv] [QA].
• A Hyper-pixel-wise Contrastive Learning Augmented Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images and Digital Elevation Model Data - [ArXiv] [QA].
• LSF-IDM: Automotive Intrusion Detection Model with Lightweight Attribution and Semantic Fusion - [ArXiv] [QA].
• Geometric wakes in collimators and step transitions of arbitrary cross-sections: conformal mapping approach - [ArXiv] [QA].
• One Tree to Rule Them All: Poly-Logarithmic Universal Steiner Tree - [ArXiv] [QA].
• Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation - [ArXiv] [QA].
• Three-level Dicke quantum battery - [ArXiv] [QA].
• Multiobjective Optimization of Non-Smooth PDE-Constrained Problems - [ArXiv] [QA].
• Black hole thermodynamics in Horndeski theories - [ArXiv] [QA].
• MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening - [ArXiv] [QA].
• Stability Analysis for a Class of Heterogeneous Catalysis Models - [ArXiv] [QA].
• An improved infrastructure for the IceCube realtime system - [ArXiv] [QA].
• Model-agnostic search for the quasinormal modes of gravitational wave echoes - [ArXiv] [QA].
• Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach - [ArXiv] [QA].
• From Sparse to Soft Mixtures of Experts - [ArXiv] [QA].
• Cosmological Distance Measurement of 12 Nearby Supernovae IIP with ROTSE-IIIB - [ArXiv] [QA].
• ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation - [ArXiv] [QA].
• VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference - [ArXiv] [QA].
• Weak localization in radiative transfer of acoustic waves in a randomly-fluctuating slab - [ArXiv] [QA].
• Optimal design of plane elastic membranes using the convexified Föppl's model - [ArXiv] [QA].
• Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction - [ArXiv] [QA].
• LISA: Reasoning Segmentation via Large Language Model - [ArXiv] [QA].
• Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models - [ArXiv] [QA].
• Note: Stokes-Einstein relation without hydrodynamic diameter in the TIP4P/Ice water model - [ArXiv] [QA].
• ELFNet: Evidential Local-global Fusion for Stereo Matching - [ArXiv] [QA].
• Detecting Cloud Presence in Satellite Images Using the RGB-based CLIP Vision-Language Model - [ArXiv] [QA].
• Understanding URDF: A Dataset and Analysis - [ArXiv] [QA].
• Stochastic Geometry Based Modeling and Analysis on Network NOMA in Downlink CoMP Systems - [ArXiv] [QA].
• A many-sorted epistemic logic for chromatic hypergraphs - [ArXiv] [QA].
• SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning - [ArXiv] [QA].
• DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving - [ArXiv] [QA].
• Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning - [ArXiv] [QA].
• Deep Image Harmonization with Learnable Augmentation - [ArXiv] [QA].
• Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation - [ArXiv] [QA].
• MetaGPT: Meta Programming for Multi-Agent Collaborative Framework - [ArXiv] [QA].
• Artifact: Measuring and Mitigating Gaps in Structural Testing - [ArXiv] [QA].
• Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models - [ArXiv] [QA].
• Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models - [ArXiv] [QA].
• Online Prototype Learning for Online Continual Learning - [ArXiv] [QA].
• CLAMS: A Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering - [ArXiv] [QA].
• Improving Pixel-based MIM by Reducing Wasted Modeling Capability - [ArXiv] [QA].
• GOALS-JWST: Gas Dynamics and Excitation in NGC7469 revealed by NIRSpec - [ArXiv] [QA].

July 2023

• Predicting masked tokens in stochastic locations improves masked image modeling - [ArXiv] [QA].
• Learning to Model the World with Language - [ArXiv] [QA].
• Discovering Adaptable Symbolic Algorithms from Scratch - [ArXiv] [QA].
• Virtual Prompt Injection for Instruction-Tuned Large Language Models - [ArXiv] [QA].
• Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal, Distance Oracles, Tree Covers, and More - [ArXiv] [QA].
• Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy - [ArXiv] [QA].
• Random Sub-Samples Generation for Self-Supervised Real Image Denoising - [ArXiv] [QA].
• ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs - [ArXiv] [QA].
• UniVTG: Towards Unified Video-Language Temporal Grounding - [ArXiv] [QA].
• DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation - [ArXiv] [QA].
• Guiding Image Captioning Models Toward More Specific Captions - [ArXiv] [QA].
• CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification - [ArXiv] [QA].
• Transferable Decoding with Visual Entities for Zero-Shot Image Captioning - [ArXiv] [QA].
• Towards General Low-Light Raw Noise Synthesis and Modeling - [ArXiv] [QA].
• MovieChat: From Dense Token to Sparse Memory for Long Video Understanding - [ArXiv] [QA].
• DRAW: Defending Camera-shooted RAW against Image Manipulation - [ArXiv] [QA].
• DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization - [ArXiv] [QA].
• Bridging the Gap: Exploring the Capabilities of Bridge-Architectures for Complex Visual Reasoning Tasks - [ArXiv] [QA].
• JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery - [ArXiv] [QA].
• LP-MusicCaps: LLM-Based Pseudo Music Captioning - [ArXiv] [QA].
• AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? - [ArXiv] [QA].
• Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples - [ArXiv] [QA].
• Evaluating ChatGPT and GPT-4 for Visual Programming - [ArXiv] [QA].
• Unified Model for Image, Video, Audio and Language Tasks - [ArXiv] [QA].
• Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models - [ArXiv] [QA].
• SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension - [ArXiv] [QA].
• XMem++: Production-level Video Segmentation From Few Annotated Frames - [ArXiv] [QA].
• CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation - [ArXiv] [QA].
• What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Network - [ArXiv] [QA].
• RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control - [ArXiv] [QA].
• The Hydra Effect: Emergent Self-repair in Language Model Computations - [ArXiv] [QA].
• MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking - [ArXiv] [QA].
• Scaling Data Generation in Vision-and-Language Navigation - [ArXiv] [QA].
• Robust Distortion-free Watermarks for Language Models - [ArXiv] [QA].
• Exploring Format Consistency for Instruction Tuning - [ArXiv] [QA].
• Uncertainty-aware Unsupervised Multi-Object Tracking - [ArXiv] [QA].
• Supervised Homography Learning with Realistic Dataset Generation - [ArXiv] [QA].
• Skeleton-of-Thought: Large Language Models Can Do Parallel Decoding - [ArXiv] [QA].
• Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF - [ArXiv] [QA].
• TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts - [ArXiv] [QA].
• Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification - [ArXiv] [QA].
• Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback - [ArXiv] [QA].
• PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization - [ArXiv] [QA].
• Med-Flamingo: a Multimodal Medical Few-shot Learner - [ArXiv] [QA].
• Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields - [ArXiv] [QA].
• To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation - [ArXiv] [QA].
• Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation - [ArXiv] [QA].
• Learning Depth Estimation for Transparent and Mirror Surfaces - [ArXiv] [QA].
• Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models - [ArXiv] [QA].
• TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis - [ArXiv] [QA].
• Diverse Inpainting and Editing with GAN Inversion - [ArXiv] [QA].
• How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges - [ArXiv] [QA].
• Scaling TransNormer to 175 Billion Parameters - [ArXiv] [QA].
• S$^3$: Social-network Simulation System with Large Language Model-Empowered Agents - [ArXiv] [QA].
• Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models - [ArXiv] [QA].
• PanGu-Coder2: Boosting Large Language Models for Code with Ranking Feedback - [ArXiv] [QA].
• Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning - [ArXiv] [QA].
• Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining - [ArXiv] [QA].
• Test Time Adaptation for Blind Image Quality Assessment - [ArXiv] [QA].
• P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds - [ArXiv] [QA].
• Pre-training Vision Transformers with Very Limited Synthesized Images - [ArXiv] [QA].
• Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation - [ArXiv] [QA].
• 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking - [ArXiv] [QA].
• NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection - [ArXiv] [QA].
• TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation - [ArXiv] [QA].
• Clustering based Point Cloud Representation Learning for 3D Analysis - [ArXiv] [QA].
• Scaling Up and Distilling Down: Language-Guided Robot Skill Acquisition - [ArXiv] [QA].
• MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation - [ArXiv] [QA].
• Three Bricks to Consolidate Watermarks for Large Language Models - [ArXiv] [QA].
• MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation - [ArXiv] [QA].
• WavJourney: Compositional Audio Creation with Large Language Models - [ArXiv] [QA].
• Towards Generalist Biomedical AI - [ArXiv] [QA].
• G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory - [ArXiv] [QA].
• Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences - [ArXiv] [QA].
• ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation - [ArXiv] [QA].
• Creative Birds: Self-Supervised Single-View 3D Style Transfer - [ArXiv] [QA].
• Leveraging Implicit Feedback from Deployment Data in Dialogue - [ArXiv] [QA].
• Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching - [ArXiv] [QA].
• Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models - [ArXiv] [QA].
• 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability - [ArXiv] [QA].
• Controllable Guide-Space for Generalizable Face Forgery Detection - [ArXiv] [QA].
• Adaptive Frequency Filters As Efficient Global Token Mixers - [ArXiv] [QA].
• Tracking Anything in High Quality - [ArXiv] [QA].
• AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception - [ArXiv] [QA].
• Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception - [ArXiv] [QA].
• trajdata: A Unified Interface to Multiple Human Trajectory Datasets - [ArXiv] [QA].
• Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generation - [ArXiv] [QA].
• WebArena: A Realistic Web Environment for Building Autonomous Agents - [ArXiv] [QA].
• How to Scale Your EMA - [ArXiv] [QA].
• PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View - [ArXiv] [QA].
• Composite Diffusion | whole >= Σparts - [ArXiv] [QA].
• ARB: Advanced Reasoning Benchmark for Large Language Models - [ArXiv] [QA].
• RecursiveDet: End-to-End Region-based Recursive Object Detection - [ArXiv] [QA].
• Spectrum-guided Multi-granularity Referring Video Object Segmentation - [ArXiv] [QA].
• Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection - [ArXiv] [QA].
• FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios - [ArXiv] [QA].
• Weakly-supervised 3D Pose Transfer with Keypoints - [ArXiv] [QA].
• Predicting Code Coverage without Execution - [ArXiv] [QA].
• Unmasking Anomalies in Road-Scene Segmentation - [ArXiv] [QA].
• LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition - [ArXiv] [QA].
• Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network - [ArXiv] [QA].
• GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers - [ArXiv] [QA].
• Strivec: Sparse Tri-Vector Radiance Fields - [ArXiv] [QA].
• GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping - [ArXiv] [QA].
• Contrastive Example-Based Control - [ArXiv] [QA].
• LLM-Rec: Personalized Recommendation via Prompting Large Language Models - [ArXiv] [QA].
• 3D-LLM: Injecting the 3D World into Large Language Models - [ArXiv] [QA].
• Evaluating the Ripple Effects of Knowledge Editing in Language Models - [ArXiv] [QA].
• RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment - [ArXiv] [QA].
• GridMM: Grid Memory Map for Vision-and-Language Navigation - [ArXiv] [QA].
• A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis - [ArXiv] [QA].
• Multiscale Video Pretraining for Long-Term Activity Forecasting - [ArXiv] [QA].
• Fast Full-frame Video Stabilization with Iterative Optimization - [ArXiv] [QA].
• COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts - [ArXiv] [QA].
• Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction - [ArXiv] [QA].
• MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features - [ArXiv] [QA].
• PG-RCNN: Semantic Surface Point Generation for 3D Object Detection - [ArXiv] [QA].
• CTVIS: Consistent Training for Online Video Instance Segmentation - [ArXiv] [QA].
• Less is More: Focus Attention for Efficient DETR - [ArXiv] [QA].
• PRIOR: Prototype Representation Joint Learning from Medical Images and Reports - [ArXiv] [QA].
• A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation - [ArXiv] [QA].
• Interpolating between Images with Diffusion Models - [ArXiv] [QA].
• PUMA: Secure Inference of LLaMA-7B in Five Minutes - [ArXiv] [QA].
• TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition - [ArXiv] [QA].
• Rethinking Data Distillation: Do Not Overlook Calibration - [ArXiv] [QA].
• ProtoFL: Unsupervised Federated Learning via Prototypical Distillation - [ArXiv] [QA].
• Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection - [ArXiv] [QA].
• TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering - [ArXiv] [QA].
• Downstream-agnostic Adversarial Examples - [ArXiv] [QA].
• LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference - [ArXiv] [QA].
• LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction - [ArXiv] [QA].
• Optimized Network Architectures for Large Language Model Training with Billions of Parameters - [ArXiv] [QA].
• Hallucination Improves the Performance of Unsupervised Visual Representation Learning - [ArXiv] [QA].
• Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes - [ArXiv] [QA].
• Discovering Spatio-Temporal Rationales for Video Question Answering - [ArXiv] [QA].
• On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement - [ArXiv] [QA].
• Learning Vision-and-Language Navigation from YouTube Videos - [ArXiv] [QA].
• Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? - [ArXiv] [QA].
• CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots - [ArXiv] [QA].
• HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness - [ArXiv] [QA].
• Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts - [ArXiv] [QA].
• OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? - [ArXiv] [QA].
• Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation - [ArXiv] [QA].
• CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields - [ArXiv] [QA].
• Prompting Large Language Models with Speech Recognition Abilities - [ArXiv] [QA].
• FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields - [ArXiv] [QA].
• Deep Directly-Trained Spiking Neural Networks for Object Detection - [ArXiv] [QA].
• Subject-Diffusion:Open Domain Personalized Text-to-Image Generation without Test-time Fine-tuning - [ArXiv] [QA].
• CLR: Channel-wise Lightweight Reprogramming for Continual Learning - [ArXiv] [QA].
• Tuning Pre-trained Model via Moment Probing - [ArXiv] [QA].
• Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields - [ArXiv] [QA].
• DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport - [ArXiv] [QA].
• MAS: Towards Resource-Efficient Federated Multiple-Task Learning - [ArXiv] [QA].
• Brain2Music: Reconstructing Music from Human Brain Activity - [ArXiv] [QA].
• AlignDet: Aligning Pre-training and Fine-tuning in Object Detection - [ArXiv] [QA].
• Cascade-DETR: Delving into High-Quality Universal Object Detection - [ArXiv] [QA].
• General Image-to-Image Translation with One-Shot Image Guidance - [ArXiv] [QA].
• Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image - [ArXiv] [QA].
• Improving Online Lane Graph Extraction by Object-Lane Clustering - [ArXiv] [QA].
• Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery - [ArXiv] [QA].
• PASTA: Pretrained Action-State Transformer Agents - [ArXiv] [QA].
• FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets - [ArXiv] [QA].
• Diffusion Sampling with Momentum for Mitigating Divergence Artifacts - [ArXiv] [QA].
• The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning - [ArXiv] [QA].
• BlendFace: Re-designing Identity Encoders for Face-Swapping - [ArXiv] [QA].
• BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion - [ArXiv] [QA].
• Meta-Transformer: A Unified Framework for Multimodal Learning - [ArXiv] [QA].
• HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces - [ArXiv] [QA].
• See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data - [ArXiv] [QA].
• Urban Radiance Field Representation with Deformable Neural Mesh Primitives - [ArXiv] [QA].
• Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV - [ArXiv] [QA].
• Lighting up NeRF via Unsupervised Decomposition and Enhancement - [ArXiv] [QA].
• SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models - [ArXiv] [QA].
• Physics-Driven Turbulence Image Restoration with Stochastic Refinement - [ArXiv] [QA].
• Flatness-Aware Minimization for Domain Generalization - [ArXiv] [QA].
• Instruction-following Evaluation through Verbalizer Manipulation - [ArXiv] [QA].
• EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization - [ArXiv] [QA].
• TokenFlow: Consistent Diffusion Features for Consistent Video Editing - [ArXiv] [QA].
• DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering - [ArXiv] [QA].
• DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI - [ArXiv] [QA].
• Challenges and Applications of Large Language Models - [ArXiv] [QA].
• LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs - [ArXiv] [QA].
• Improving Multimodal Datasets with Image Captioning - [ArXiv] [QA].
• FABRIC: Personalizing Diffusion Models with Iterative Feedback - [ArXiv] [QA].
• Android in the Wild: A Large-Scale Dataset for Android Device Control - [ArXiv] [QA].
• Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples - [ArXiv] [QA].
• MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions - [ArXiv] [QA].
• Hierarchical Spatio-Temporal Representation Learning for Gait Recognition - [ArXiv] [QA].
• What do neural networks learn in image classification? A frequency shortcut perspective - [ArXiv] [QA].
• Density-invariant Features for Distant Point Cloud Registration - [ArXiv] [QA].
• Text2Layer: Layered Image Generation using Latent Diffusion Model - [ArXiv] [QA].
• Towards Building More Robust Models with Frequency Bias - [ArXiv] [QA].
• Generative Prompt Model for Weakly Supervised Object Localization - [ArXiv] [QA].
• Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation - [ArXiv] [QA].
• CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation - [ArXiv] [QA].
• AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks - [ArXiv] [QA].
• Towards Saner Deep Image Registration - [ArXiv] [QA].
• GlobalMapper: Arbitrary-Shaped Urban Layout Generation - [ArXiv] [QA].
• Towards A Unified Agent with Foundation Models - [ArXiv] [QA].
• Object-aware Gaze Target Detection - [ArXiv] [QA].
• Promoting Exploration in Memory-Augmented Adam using Critical Momenta - [ArXiv] [QA].
• Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration - [ArXiv] [QA].
• ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning - [ArXiv] [QA].
• Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla - [ArXiv] [QA].
• OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation - [ArXiv] [QA].
• Biomaker CA: a Biome Maker project using Cellular Automata - [ArXiv] [QA].
• Llama 2: Open Foundation and Fine-Tuned Chat Models - [ArXiv] [QA].
• Augmenting CLIP with Improved Visio-Linguistic Reasoning - [ArXiv] [QA].
• NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF - [ArXiv] [QA].
• How is ChatGPT's behavior changing over time? - [ArXiv] [QA].
• GEAR: Augmenting Language Models with Generalizable and Efficient Tool Resolution - [ArXiv] [QA].
• Diffusion Models Beat GANs on Image Classification - [ArXiv] [QA].
• AlpaGasus: Training A Better Alpaca with Fewer Data - [ArXiv] [QA].
• TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT - [ArXiv] [QA].
• Retentive Network: A Successor to Transformer for Large Language Models - [ArXiv] [QA].
• BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs - [ArXiv] [QA].
• Scale-Aware Modulation Meet Transformer - [ArXiv] [QA].
• Does Visual Pretraining Help End-to-End Reasoning? - [ArXiv] [QA].
• Cumulative Spatial Knowledge Distillation for Vision Transformers - [ArXiv] [QA].
• DOT: A Distillation-Oriented Trainer - [ArXiv] [QA].
• Measuring Faithfulness in Chain-of-Thought Reasoning - [ArXiv] [QA].
• Question Decomposition Improves the Faithfulness of Model-Generated Reasoning - [ArXiv] [QA].
• Planting a SEED of Vision in Large Language Model - [ArXiv] [QA].
• Towards Viewpoint-Invariant Visual Recognition via Adversarial Training - [ArXiv] [QA].
• Language Conditioned Traffic Generation - [ArXiv] [QA].
• Communicative Agents for Software Development - [ArXiv] [QA].
• INVE: Interactive Neural Video Editing - [ArXiv] [QA].
• CoTracker: It is Better to Track Together - [ArXiv] [QA].
• NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis - [ArXiv] [QA].
• DreamTeacher: Pretraining Image Backbones with Deep Generative Models - [ArXiv] [QA].
• Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts - [ArXiv] [QA].
• Learning to Retrieve In-Context Examples for Large Language Models - [ArXiv] [QA].
• Bootstrapping Vision-Language Learning with Decoupled Language Pre-training - [ArXiv] [QA].
• DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations - [ArXiv] [QA].
• HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models - [ArXiv] [QA].
• In-context Autoencoder for Context Compression in a Large Language Model - [ArXiv] [QA].
• InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation - [ArXiv] [QA].
• Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation - [ArXiv] [QA].
• mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs - [ArXiv] [QA].
• Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Models - [ArXiv] [QA].
• Generating Benchmarks for Factuality Evaluation of Language Models - [ArXiv] [QA].
• Copy Is All You Need - [ArXiv] [QA].
• Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events - [ArXiv] [QA].
• T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation - [ArXiv] [QA].
• Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution - [ArXiv] [QA].
• Instruction Mining: High-Quality Instruction Data Selection for Large Language Models - [ArXiv] [QA].
• MMBench: Is Your Multi-modal Model an All-around Player? - [ArXiv] [QA].
• SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning - [ArXiv] [QA].
• VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View - [ArXiv] [QA].
• PolyLM: An Open Source Polyglot Large Language Model - [ArXiv] [QA].
• VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models - [ArXiv] [QA].
• Giving Robots a Hand: Learning Generalizable Manipulation with Eye-in-Hand Human Video Demonstrations - [ArXiv] [QA].
• Towards Robust and Efficient Continual Language Learning - [ArXiv] [QA].
• Stack More Layers Differently: High-Rank Training Through Low-Rank Updates - [ArXiv] [QA].
• Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives - [ArXiv] [QA].
• Self-consistency for open-ended generations - [ArXiv] [QA].
• EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone - [ArXiv] [QA].
• Efficient 3D Articulated Human Generation with Layered Surface Volumes - [ArXiv] [QA].
• Empowering Cross-lingual Behavioral Testing of NLP Models with Typological Features - [ArXiv] [QA].
• Self-Supervised Learning with Lie Symmetries for Partial Differential Equations - [ArXiv] [QA].
• Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration - [ArXiv] [QA].
• Generative Pretraining in Multimodality - [ArXiv] [QA].
• DNAGPT: A Generalized Pre-trained Tool for Versatile DNA Sequence Analysis Tasks - [ArXiv] [QA].
• Test-Time Training on Video Streams - [ArXiv] [QA].
• Monotone deep Boltzmann machines - [ArXiv] [QA].
• Secrets of RLHF in Large Language Models Part I: PPO - [ArXiv] [QA].
• Semantic-SAM: Segment and Recognize Anything at Any Granularity - [ArXiv] [QA].
• SITTA: A Semantic Image-Text Alignment for Image Captioning - [ArXiv] [QA].
• Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement - [ArXiv] [QA].
• RoCo: Dialectic Multi-Robot Collaboration with Large Language Models - [ArXiv] [QA].
• AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning - [ArXiv] [QA].
• Large Language Models as General Pattern Machines - [ArXiv] [QA].
• International Institutions for Advanced AI - [ArXiv] [QA].
• VampNet: Music Generation via Masked Acoustic Token Modeling - [ArXiv] [QA].
• AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System - [ArXiv] [QA].
• RLTF: Reinforcement Learning from Unit Test Feedback - [ArXiv] [QA].
• SVIT: Scaling up Visual Instruction Tuning - [ArXiv] [QA].
• Toward Interactive Dictation - [ArXiv] [QA].
• On decoder-only architecture for speech-to-text and large language model integration - [ArXiv] [QA].
• Large Language Models for Supply Chain Optimization - [ArXiv] [QA].
• Sketch-A-Shape: Zero-Shot Sketch-to-3D Shape Generation - [ArXiv] [QA].
• AutoDecoding Latent 3D Diffusion Models - [ArXiv] [QA].
• GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest - [ArXiv] [QA].
• Solvent: A Framework for Protein Folding - [ArXiv] [QA].
• Wireless Multi-Agent Generative AI: From Connected Intelligence to Collective Intelligence - [ArXiv] [QA].
• Building Cooperative Embodied Agents Modularly with Large Language Models - [ArXiv] [QA].
• What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? - [ArXiv] [QA].
• Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners - [ArXiv] [QA].
• Embodied Task Planning with Large Language Models - [ArXiv] [QA].
• Collaborative Score Distillation for Consistent Visual Synthesis - [ArXiv] [QA].
• mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding - [ArXiv] [QA].
• On Hofstadter's G-sequence - [ArXiv] [QA].
• Hybrid two-level MCMC for Bayesian Inverse Problems - [ArXiv] [QA].
• Practical Collaborative Perception: A Framework for Asynchronous and Multi-Agent 3D Object Detection - [ArXiv] [QA].
• Multi-Task Learning Improves Performance In Deep Argument Mining Models - [ArXiv] [QA].
• EIGER IV: The cool 10$^4$K circumgalactic environment of high-$z$ galaxies reveals remarkably efficient IGM enrichment - [ArXiv] [QA].
• Variational integrals on Hessian spaces: partial regularity for critical points - [ArXiv] [QA].
• Characterisation of three-body loss in ${}^{166}$Er and optimised production of large Bose-Einstein condensates - [ArXiv] [QA].
• SCITUNE: Aligning Large Language Models with Scientific Multimodal Instructions - [ArXiv] [QA].
• Scalable quantum neural networks by few quantum resources - [ArXiv] [QA].
• Visual Instruction Tuning with Polite Flamingo - [ArXiv] [QA].
• NOMA-Assisted Grant-Free Transmission: How to Design Pre-Configured SNR Levels? - [ArXiv] [QA].
• Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset - [ArXiv] [QA].
• JourneyDB: A Benchmark for Generative Image Understanding - [ArXiv] [QA].
• Almost sure bounds for a weighted Steinhaus random multiplicative function - [ArXiv] [QA].
• DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment - [ArXiv] [QA].
• Personality Traits in Large Language Models - [ArXiv] [QA].

June 2023

• SPAE: Semantic Pyramid AutoEncoder for Multimodal Generation with Frozen LLMs - [ArXiv] [QA].
• Statler: State-Maintaining Language Models for Embodied Reasoning - [ArXiv] [QA].
• Preference Ranking Optimization for Human Alignment - [ArXiv] [QA].
• LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding - [ArXiv] [QA].
• End-to-end Autonomous Driving: Challenges and Frontiers - [ArXiv] [QA].
• KITE: Keypoint-Conditioned Policies for Semantic Manipulation - [ArXiv] [QA].
• Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language - [ArXiv] [QA].
• Inferring the Goals of Communicating Agents from Actions and Instructions - [ArXiv] [QA].
• Confidence Ranking for CTR Prediction - [ArXiv] [QA].
• Explainable Multimodal Emotion Reasoning - [ArXiv] [QA].
• MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation - [ArXiv] [QA].
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic - [ArXiv] [QA].
• Kosmos-2: Grounding Multimodal Large Language Models to the World - [ArXiv] [QA].
• MotionGPT: Human Motion as a Foreign Language - [ArXiv] [QA].
• SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality - [ArXiv] [QA].
• Aligning Large Multi-Modal Model with Robust Instruction Tuning - [ArXiv] [QA].
• DesCo: Learning Object Recognition with Rich Language Descriptions - [ArXiv] [QA].
• A Survey on Multimodal Large Language Models - [ArXiv] [QA].
• MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models - [ArXiv] [QA].
• Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces - [ArXiv] [QA].
• SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer - [ArXiv] [QA].
• Local 3D Editing via 3D Distillation of CLIP Knowledge - [ArXiv] [QA].
• FFCV: Accelerating Training by Removing Data Bottlenecks - [ArXiv] [QA].
• Mass-Producing Failures of Multimodal Systems with Language Models - [ArXiv] [QA].
• SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling - [ArXiv] [QA].
• Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion - [ArXiv] [QA].
• RM-PRT: Realistic Robotic Manipulation Simulator and Benchmark with Progressive Reasoning Tasks - [ArXiv] [QA].
• MotionGPT: Finetuned LLMs are General-Purpose Motion Generators - [ArXiv] [QA].
• UniMC: A Unified Framework for Long-Term Memory Conversation via Relevance Representation Learning - [ArXiv] [QA].
• CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents - [ArXiv] [QA].
• Investigating Prompting Techniques for Zero- and Few-Shot Visual Question Answering - [ArXiv] [QA].
• LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning - [ArXiv] [QA].
• Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models - [ArXiv] [QA].
• LVLM-eHub: A Comprehensive Evaluation Benchmark for Large Vision-Language Models - [ArXiv] [QA].
• Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration - [ArXiv] [QA].
• Re-Benchmarking Pool-Based Active Learning for Binary Classification - [ArXiv] [QA].
• Toward Grounded Social Reasoning - [ArXiv] [QA].
• Language to Rewards for Robotic Skill Synthesis - [ArXiv] [QA].
• Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models - [ArXiv] [QA].
• AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn - [ArXiv] [QA].
• AVIS: Autonomous Visual Information Seeking with Large Language Models - [ArXiv] [QA].
• Neural Scene Chronology - [ArXiv] [QA].
• Instant Multi-View Head Capture through Learnable Registration - [ArXiv] [QA].
• LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark - [ArXiv] [QA].
• RestGPT: Connecting Large Language Models with Real-World RESTful APIs - [ArXiv] [QA].
• Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models - [ArXiv] [QA].
• MIMIC-IT: Multi-Modal In-Context Instruction Tuning - [ArXiv] [QA].
• M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models - [ArXiv] [QA].
• ScaleDet: A Scalable Multi-Dataset Object Detector - [ArXiv] [QA].
• M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning - [ArXiv] [QA].
• Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks - [ArXiv] [QA].
• ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory - [ArXiv] [QA].
• Enabling Intelligent Interactions between an Agent and an LLM: A Reinforcement Learning Approach - [ArXiv] [QA].
• On Pitfalls of Test-Time Adaptation - [ArXiv] [QA].
• GaitGCI: Generative Counterfactual Intervention for Gait Recognition - [ArXiv] [QA].
• DVIS: Decoupled Video Instance Segmentation Framework - [ArXiv] [QA].
• Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents - [ArXiv] [QA].
• Neuralangelo: High-Fidelity Neural Surface Reconstruction - [ArXiv] [QA].
• BeyondPixels: A Comprehensive Review of the Evolution of Neural Radiance Fields - [ArXiv] [QA].
• Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding - [ArXiv] [QA].
• Orca: Progressive Learning from Complex Explanation Traces of GPT-4 - [ArXiv] [QA].
• RecAgent: A Novel Simulation Paradigm for Recommender Systems - [ArXiv] [QA].
• Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection - [ArXiv] [QA].
• LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day - [ArXiv] [QA].
• Microstructure quality control of steels using deep learning - [ArXiv] [QA].
• GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? - [ArXiv] [QA].
• Thought Cloning: Learning to Think while Acting by Imitating Human Thinking - [ArXiv] [QA].

May 2023

• Monotonic Location Attention for Length Generalization - [ArXiv] [QA].
• Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models - [ArXiv] [QA].
• Neural Kernel Surface Reconstruction - [ArXiv] [QA].
• Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate - [ArXiv] [QA].
• Independent Component Alignment for Multi-Task Learning - [ArXiv] [QA].
• VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions - [ArXiv] [QA].
• GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction - [ArXiv] [QA].
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model - [ArXiv] [QA].
• Contextual Object Detection with Multimodal Large Language Models - [ArXiv] [QA].
• Code Prompting: a Neural Symbolic Method for Complex Reasoning in Large Language Models - [ArXiv] [QA].
• SwiftSage: A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks - [ArXiv] [QA].
• MPCHAT: Towards Multimodal Persona-Grounded Conversation - [ArXiv] [QA].
• Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance - [ArXiv] [QA].
• Generating Images with Multimodal Language Models - [ArXiv] [QA].
• Large Language Models as Tool Makers - [ArXiv] [QA].
• Mindstorms in Natural Language-Based Societies of Mind - [ArXiv] [QA].
• Training Socially Aligned Language Models in Simulated Human Society - [ArXiv] [QA].
• On Evaluating Adversarial Robustness of Large Vision-Language Models - [ArXiv] [QA].
• MultiTool-CoT: GPT-3 Can Use Multiple External Tools with Chain of Thought Prompting - [ArXiv] [QA].
• Playing repeated games with Large Language Models - [ArXiv] [QA].
• Randomized Positional Encodings Boost Length Generalization of Transformers - [ArXiv] [QA].
• Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark - [ArXiv] [QA].
• AdaPlanner: Adaptive Planning from Feedback with Language Models - [ArXiv] [QA].
• Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models - [ArXiv] [QA].
• Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory - [ArXiv] [QA].
• Landmark Attention: Random-Access Infinite Context Length for Transformers - [ArXiv] [QA].
• Voyager: An Open-Ended Embodied Agent with Large Language Models - [ArXiv] [QA].
• ChatBridge: Bridging Modalities with Large Language Model as a Language Catalyst - [ArXiv] [QA].
• Role-Play with Large Language Models - [ArXiv] [QA].
• PandaGPT: One Model To Instruction-Follow Them All - [ArXiv] [QA].
• LayoutGPT: Compositional Visual Planning and Generation with Large Language Models - [ArXiv] [QA].
• Gorilla: Large Language Model Connected with Massive APIs - [ArXiv] [QA].
• Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration - [ArXiv] [QA].
• Dynamic Masking Rate Schedules for MLM Pretraining - [ArXiv] [QA].
• Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models - [ArXiv] [QA].
• EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought - [ArXiv] [QA].
• Reasoning with Language Model is Planning with World Model - [ArXiv] [QA].
• IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models - [ArXiv] [QA].
• Discriminator-Guided Multi-step Reasoning with Language Models - [ArXiv] [QA].
• PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts - [ArXiv] [QA].
• Adapting Language Models to Compress Contexts - [ArXiv] [QA].
• ExpertPrompting: Instructing Large Language Models to be Distinguished Experts - [ArXiv] [QA].
• Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement - [ArXiv] [QA].
• Automatic Model Selection with Large Language Models for Reasoning - [ArXiv] [QA].
• Improving Factuality and Reasoning in Language Models through Multiagent Debate - [ArXiv] [QA].
• ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models - [ArXiv] [QA].
• RET-LLM: Towards a General Read-Write Memory for Large Language Models - [ArXiv] [QA].
• CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation - [ArXiv] [QA].
• REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos - [ArXiv] [QA].
• Enhancing Chat Language Models by Scaling High-quality Instructional Conversations - [ArXiv] [QA].
• DetGPT: Detect What You Need via Reasoning - [ArXiv] [QA].
• Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction - [ArXiv] [QA].
• PaD: Program-aided Distillation Specializes Large Models in Reasoning - [ArXiv] [QA].
• Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration - [ArXiv] [QA].
• RecurrentGPT: Interactive Generation of (Arbitrarily) Long Text - [ArXiv] [QA].
• Training Diffusion Models with Reinforcement Learning - [ArXiv] [QA].
• Interactive Natural Language Processing - [ArXiv] [QA].
• LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities - [ArXiv] [QA].
• Making Language Models Better Tool Learners with Execution Feedback - [ArXiv] [QA].
• RWKV: Reinventing RNNs for the Transformer Era - [ArXiv] [QA].
• Pengi: An Audio Language Model for Audio Tasks - [ArXiv] [QA].
• CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing - [ArXiv] [QA].
• Learning Global-aware Kernel for Image Harmonization - [ArXiv] [QA].
• ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - [ArXiv] [QA].
• RCOT: Detecting and Rectifying Factual Inconsistency in Reasoning by Reversing Chain-of-Thought - [ArXiv] [QA].
• Enhancing Personalized Dialogue Generation with Contrastive Latent Variables: Combining Sparse and Dense Persona - [ArXiv] [QA].
• Towards Collaborative Plan Acquisition through Theory of Mind Modeling in Situated Dialogue - [ArXiv] [QA].
• Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model - [ArXiv] [QA].
• VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks - [ArXiv] [QA].
• SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation - [ArXiv] [QA].
• LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation - [ArXiv] [QA].
• DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs - [ArXiv] [QA].
• An Android Robot Head as Embodied Conversational Agent - [ArXiv] [QA].
• 3D Registration with Maximal Cliques - [ArXiv] [QA].
• Listen, Think, and Understand - [ArXiv] [QA].
• OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding - [ArXiv] [QA].
• Boost Vision Transformer with GPU-Friendly Sparsity and Quantization - [ArXiv] [QA].
• Language Models Meet World Models: Embodied Experiences Enhance Language Models - [ArXiv] [QA].
• Tree of Thoughts: Deliberate Problem Solving with Large Language Models - [ArXiv] [QA].
• IMAD: IMage-Augmented multi-modal Dialogue - [ArXiv] [QA].
• PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering - [ArXiv] [QA].
• Evaluating Object Hallucination in Large Vision-Language Models - [ArXiv] [QA].
• MemoryBank: Enhancing Large Language Models with Long-Term Memory - [ArXiv] [QA].
• Knowledge-enhanced Mixed-initiative Dialogue System for Emotional Support Conversations - [ArXiv] [QA].
• Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback - [ArXiv] [QA].
• Dual Semantic Knowledge Composed Multimodal Dialog Systems - [ArXiv] [QA].
• Towards Generalist Robots: A Promising Paradigm via Generative Simulation - [ArXiv] [QA].
• Small Models are Valuable Plug-ins for Large Language Models - [ArXiv] [QA].
• Attacking Perceptual Similarity Metrics - [ArXiv] [QA].
• A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment - [ArXiv] [QA].
• ACCENT: An Automatic Event Commonsense Evaluation Metric for Open-Domain Dialogue Systems - [ArXiv] [QA].
• In Search of Verifiability: Explanations Rarely Enable Complementary Performance in AI-Advised Decision Making - [ArXiv] [QA].
• ArtGPT-4: Artistic Vision-Language Understanding with Adapter-enhanced MiniGPT-4 - [ArXiv] [QA].
• EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention - [ArXiv] [QA].
• InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning - [ArXiv] [QA].
• VideoChat: Chat-Centric Video Understanding - [ArXiv] [QA].
• SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds - [ArXiv] [QA].
• TidyBot: Personalized Robot Assistance with Large Language Models - [ArXiv] [QA].
• Dialogue Planning via Brownian Bridge Stochastic Process for Goal-directed Proactive Dialogue - [ArXiv] [QA].
• Distilling Script Knowledge from Large Language Models for Constrained Language Planning - [ArXiv] [QA].
• FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance - [ArXiv] [QA].
• Knowledge-enhanced Agents for Interactive Text Games - [ArXiv] [QA].
• MultiModal-GPT: A Vision and Language Model for Dialogue with Humans - [ArXiv] [QA].
• Multi-Space Neural Radiance Fields - [ArXiv] [QA].
• X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages - [ArXiv] [QA].
• Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models - [ArXiv] [QA].
• Otter: A Multi-Modal Model with In-Context Instruction Tuning - [ArXiv] [QA].
• LMEye: An Interactive Perception Network for Large Language Models - [ArXiv] [QA].
• T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering - [ArXiv] [QA].
• TransESC: Smoothing Emotional Support Conversation via Turn-Level State Transition - [ArXiv] [QA].
• Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework - [ArXiv] [QA].
• ZipIt! Merging Models from Different Tasks without Training - [ArXiv] [QA].
• Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision - [ArXiv] [QA].
• A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects - [ArXiv] [QA].
• Caption Anything: Interactive Image Description with Diverse Multimodal Controls - [ArXiv] [QA].
• Plan, Eliminate, and Track -- Language Models are Good Teachers for Embodied Agents - [ArXiv] [QA].
• Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings - [ArXiv] [QA].
• Multimodal Procedural Planning via Dual Text-Image Prompting - [ArXiv] [QA].
• Unlimiformer: Long-Range Transformers with Unlimited Length Input - [ArXiv] [QA].
• Transfer Visual Prompt Generator across LLMs - [ArXiv] [QA].
• The Role of Summarization in Generative Agents: A Preliminary Perspective - [ArXiv] [QA].
• ArK: Augmented Reality with Knowledge Interactive Emergent Ability - [ArXiv] [QA].
• Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation - [ArXiv] [QA].
• Hypernuclear event detection in the nuclear emulsion with Monte Carlo simulation and machine learning - [ArXiv] [QA].
• Learning to Reason and Memorize with Self-Notes - [ArXiv] [QA].

April 2023

• LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model - [ArXiv] [QA].
• IMP: Iterative Matching and Pose Estimation with Adaptive Pooling - [ArXiv] [QA].
• ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System - [ArXiv] [QA].
• mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality - [ArXiv] [QA].
• ChatLog: Recording and Analyzing ChatGPT Across Time - [ArXiv] [QA].
• Multi-Party Chat: Conversational Agents in Group Settings with Humans and Models - [ArXiv] [QA].
• Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond - [ArXiv] [QA].
• Multimodal Grounding for Embodied AI via Augmented Reality Headsets for Natural Language Driven Task Planning - [ArXiv] [QA].
• Unleashing Infinite-Length Input Capacity for Large-scale Language Models with Self-Controlled Memory System - [ArXiv] [QA].
• Answering Questions by Meta-Reasoning over Multiple Chains of Thought - [ArXiv] [QA].
• Patch-based 3D Natural Scene Generation from a Single Example - [ArXiv] [QA].
• GlyphDiffusion: Text Generation as Image Generation - [ArXiv] [QA].
• WizardLM: Empowering Large Language Models to Follow Complex Instructions - [ArXiv] [QA].
• ChatLLM Network: More brains, More intelligence - [ArXiv] [QA].
• SketchXAI: A First Look at Explainability for Human Sketches - [ArXiv] [QA].
• Emergent and Predictable Memorization in Large Language Models - [ArXiv] [QA].
• ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT - [ArXiv] [QA].
• Can GPT-4 Perform Neural Architecture Search? - [ArXiv] [QA].
• MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models - [ArXiv] [QA].
• Phoenix: Democratizing ChatGPT across Languages - [ArXiv] [QA].
• SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation - [ArXiv] [QA].
• SCoDA: Domain Adaptive Shape Completion for Real Scans - [ArXiv] [QA].
• Learning Bottleneck Concepts in Image Classification - [ArXiv] [QA].
• Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation - [ArXiv] [QA].
• Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models - [ArXiv] [QA].
• Network Pruning Spaces - [ArXiv] [QA].
• Network Pruning Spaces - [ArXiv] [QA].
• SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes - [ArXiv] [QA].
• Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections - [ArXiv] [QA].
• Visual Instruction Tuning - [ArXiv] [QA].
• Tool Learning with Foundation Models - [ArXiv] [QA].
• Chain of Thought Prompt Tuning in Vision Language Models - [ArXiv] [QA].
• Self-collaboration Code Generation via ChatGPT - [ArXiv] [QA].
• Tractable Control for Autoregressive Language Generation - [ArXiv] [QA].
• DCFace: Synthetic Face Generation with Dual Condition Diffusion Model - [ArXiv] [QA].
• Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text - [ArXiv] [QA].
• RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment - [ArXiv] [QA].
• Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning - [ArXiv] [QA].
• NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds - [ArXiv] [QA].
• Language Instructed Reinforcement Learning for Human-AI Coordination - [ArXiv] [QA].
• Hard Patches Mining for Masked Image Modeling - [ArXiv] [QA].
• Instance-Aware Domain Generalization for Face Anti-Spoofing - [ArXiv] [QA].
• ChemCrow: Augmenting large-language models with chemistry tools - [ArXiv] [QA].
• Toxicity in ChatGPT: Analyzing Persona-assigned Language Models - [ArXiv] [QA].
• Teaching Large Language Models to Self-Debug - [ArXiv] [QA].
• Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning - [ArXiv] [QA].
• A Cheaper and Better Diffusion Language Model with Soft-Masked Noise - [ArXiv] [QA].
• Improved Test-Time Adaptation for Domain Generalization - [ArXiv] [QA].
• Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT - [ArXiv] [QA].
• OpenAGI: When LLM Meets Domain Experts - [ArXiv] [QA].
• Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions - [ArXiv] [QA].
• Token Boosting for Robust Self-Supervised Visual Transformer Pre-training - [ArXiv] [QA].
• Hi Sheldon! Creating Deep Personalized Characters from TV Shows - [ArXiv] [QA].
• Decoder-Only or Encoder-Decoder? Interpreting Language Model as a Regularized Encoder-Decoder - [ArXiv] [QA].
• ChatGPT Empowered Long-Step Robot Control in Various Environments: A Case Application - [ArXiv] [QA].
• Why think step by step? Reasoning emerges from the locality of experience - [ArXiv] [QA].
• Generative Agents: Interactive Simulacra of Human Behavior - [ArXiv] [QA].
• ERRA: An Embodied Representation and Reasoning Architecture for Long-horizon Language-conditioned Manipulation Tasks - [ArXiv] [QA].
• GINA-3D: Learning to Generate Implicit Neural Assets in the Wild - [ArXiv] [QA].
• Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling - [ArXiv] [QA].
• Asymptotic expansions for the maximum likelihood estimation errors of the rotating parameter of the gravitational wave from core-collapse supernovae - [ArXiv] [QA].
• Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data - [ArXiv] [QA].
• Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement - [ArXiv] [QA].
• ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model - [ArXiv] [QA].
• 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds - [ArXiv] [QA].
• Metrological detection of multipartite entanglement through dynamical symmetries - [ArXiv] [QA].
• When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus - [ArXiv] [QA].

March 2023

• Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation - [ArXiv] [QA].
• On stochastic MPC formulations with closed-loop guarantees: Analysis and a unifying framework - [ArXiv] [QA].
• A Survey of Large Language Models - [ArXiv] [QA].
• VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization - [ArXiv] [QA].
• Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning - [ArXiv] [QA].
• CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society - [ArXiv] [QA].
• Self-Refine: Iterative Refinement with Self-Feedback - [ArXiv] [QA].
• SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer - [ArXiv] [QA].
• HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face - [ArXiv] [QA].
• WavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research - [ArXiv] [QA].
• Mixed Autoencoder for Self-supervised Visual Representation Learning - [ArXiv] [QA].
• ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance - [ArXiv] [QA].
• TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation - [ArXiv] [QA].
• G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment - [ArXiv] [QA].
• Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations - [ArXiv] [QA].
• Plan4MC: Skill Reinforcement Learning and Planning for Open-World Minecraft Tasks - [ArXiv] [QA].
• Multi-View Azimuth Stereo via Tangent Space Consistency - [ArXiv] [QA].
• TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs - [ArXiv] [QA].
• ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models - [ArXiv] [QA].
• Are Data-driven Explanations Robust against Out-of-distribution Data? - [ArXiv] [QA].
• LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention - [ArXiv] [QA].
• F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories - [ArXiv] [QA].
• DisWOT: Student Architecture Search for Distillation WithOut Training - [ArXiv] [QA].
• Zero-shot Model Diagnosis - [ArXiv] [QA].
• Learning to Zoom and Unzoom - [ArXiv] [QA].
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization - [ArXiv] [QA].
• UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View - [ArXiv] [QA].
• Natural Language Reasoning, A Survey - [ArXiv] [QA].
• Learning Versatile 3D Shape Generation with Improved AR Models - [ArXiv] [QA].
• Learning video embedding space with Natural Language Supervision - [ArXiv] [QA].
• SUDS: Scalable Urban Dynamic Scenes - [ArXiv] [QA].
• Compacting Binary Neural Networks by Sparse Kernel Selection - [ArXiv] [QA].
• NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects - [ArXiv] [QA].
• Human Preference Score: Better Aligning Text-to-Image Models with Human Preference - [ArXiv] [QA].
• VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud - [ArXiv] [QA].
• IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients - [ArXiv] [QA].
• Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting - [ArXiv] [QA].
• Robust Test-Time Adaptation in Dynamic Scenarios - [ArXiv] [QA].
• Progressively Optimized Local Radiance Fields for Robust View Synthesis - [ArXiv] [QA].
• Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers - [ArXiv] [QA].
• Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment - [ArXiv] [QA].
• Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration - [ArXiv] [QA].
• Spherical Transformer for LiDAR-based 3D Recognition - [ArXiv] [QA].
• Correlational Image Modeling for Self-Supervised Visual Pre-Training - [ArXiv] [QA].
• Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation - [ArXiv] [QA].
• Logical Reasoning over Natural Language as Knowledge Representation: A Survey - [ArXiv] [QA].
• NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images - [ArXiv] [QA].
• Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection - [ArXiv] [QA].
• Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective - [ArXiv] [QA].
• Implicit Neural Representation for Cooperative Low-light Image Enhancement - [ArXiv] [QA].
• eP-ALM: Efficient Perceptual Augmentation of Language Models - [ArXiv] [QA].
• MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action - [ArXiv] [QA].
• Reflexion: Language Agents with Verbal Reinforcement Learning - [ArXiv] [QA].
• Learning Optical Flow from Event Camera with Rendered Dataset - [ArXiv] [QA].
• Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning - [ArXiv] [QA].
• DialogPaint: A Dialog-based Image Editing Model - [ArXiv] [QA].
• Adversarial Counterfactual Visual Explanations - [ArXiv] [QA].
• TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation - [ArXiv] [QA].
• CoLT5: Faster Long-Range Transformers with Conditional Computation - [ArXiv] [QA].
• CHAMPAGNE: Learning Real-world Conversation from Large-Scale Web Videos - [ArXiv] [QA].
• Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction - [ArXiv] [QA].
• ART: Automatic multi-step reasoning and tool-use for large language models - [ArXiv] [QA].
• MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge - [ArXiv] [QA].
• Can Large Language Models design a Robot? - [ArXiv] [QA].
• VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation - [ArXiv] [QA].
• Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting - [ArXiv] [QA].
• MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences - [ArXiv] [QA].
• Chat with the Environment: Interactive Multimodal Perception Using Large Language Models - [ArXiv] [QA].
• Rotation-Invariant Transformer for Point Cloud Matching - [ArXiv] [QA].
• Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis - [ArXiv] [QA].
• ViperGPT: Visual Inference via Python Execution for Reasoning - [ArXiv] [QA].
• NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images - [ArXiv] [QA].
• RE-MOVE: An Adaptive Policy Design Approach for Dynamic Environments via Language-Based Feedback - [ArXiv] [QA].
• The Life Cycle of Knowledge in Big Language Models: A Survey - [ArXiv] [QA].
• Audio Visual Language Maps for Robot Navigation - [ArXiv] [QA].
• Adaptive Data-Free Quantization - [ArXiv] [QA].
• Iterative Geometry Encoding Volume for Stereo Matching - [ArXiv] [QA].
• ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions - [ArXiv] [QA].
• ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design - [ArXiv] [QA].
• FAC: 3D Representation Learning via Foreground Aware Feature Contrast - [ArXiv] [QA].
• Task and Motion Planning with Large Language Models for Object Rearrangement - [ArXiv] [QA].
• MVImgNet: A Large-scale Dataset of Multi-view Images - [ArXiv] [QA].
• Accountable Textual-Visual Chat Learns to Reject Human Instructions in Image Re-creation - [ArXiv] [QA].
• Hardware Acceleration of Neural Graphics - [ArXiv] [QA].
• 3D Video Loops from Asynchronous Input - [ArXiv] [QA].
• Masked Image Modeling with Local Multi-Scale Reconstruction - [ArXiv] [QA].
• ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction - [ArXiv] [QA].
• X-Pruner: eXplainable Pruning for Vision Transformers - [ArXiv] [QA].
• Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models - [ArXiv] [QA].
• DNBP: Differentiable Nonparametric Belief Propagation - [ArXiv] [QA].
• DNBP: Differentiable Nonparametric Belief Propagation - [ArXiv] [QA].
• LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion - [ArXiv] [QA].
• Can an Embodied Agent Find Your "Cat-shaped Mug"? LLM-Based Zero-Shot Object Navigation - [ArXiv] [QA].
• PaLM-E: An Embodied Multimodal Language Model - [ArXiv] [QA].
• Prismer: A Vision-Language Model with An Ensemble of Experts - [ArXiv] [QA].
• MathPrompter: Mathematical Reasoning using Large Language Models - [ArXiv] [QA].
• Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners - [ArXiv] [QA].
• EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization - [ArXiv] [QA].
• Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering - [ArXiv] [QA].
• Near Optimal Memory-Regret Tradeoff for Online Learning - [ArXiv] [QA].
• WESPER: Zero-shot and Realtime Whisper to Normal Voice Conversion for Whisper-based Speech Interactions - [ArXiv] [QA].
• First Order Quantum Phase Transition in the Hybrid Metal-Mott Insulator Transition Metal Dichalcogenide 4Hb-TaS2 - [ArXiv] [QA].
• Isotopic effects in molecular attosecond photoelectron interferometry - [ArXiv] [QA].
• Token Contrast for Weakly-Supervised Semantic Segmentation - [ArXiv] [QA].
• Eulerian-Lagrangian particle-based model for diffusional growth for the better parameterization of ISM clouds: A road map for improving climate model through small-scale model using observations - [ArXiv] [QA].
• Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation - [ArXiv] [QA].
• Open-World Object Manipulation using Pre-trained Vision-Language Models - [ArXiv] [QA].
• Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control - [ArXiv] [QA].
• A Practical Upper Bound for the Worst-Case Attribution Deviations - [ArXiv] [QA].
• Can ChatGPT Assess Human Personalities? A General Evaluation Framework - [ArXiv] [QA].

February 2023

• A Comprehensive Perturbative Formalism for Phase Mixing in Perturbed Disks. II. Phase Spirals in an Inhomogeneous Disk Galaxy with a Non-responsive Dark Matter Halo - [ArXiv] [QA].
• Generic-to-Specific Distillation of Masked Autoencoders - [ArXiv] [QA].
• Which One Are You Referring To? Multimodal Object Identification in Situated Dialogue - [ArXiv] [QA].
• GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation - [ArXiv] [QA].
• HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization - [ArXiv] [QA].
• Internet Explorer: Targeted Representation Learning on the Open Web - [ArXiv] [QA].
• Language Is Not All You Need: Aligning Perception with Language Models - [ArXiv] [QA].
• LLaMA: Open and Efficient Foundation Language Models - [ArXiv] [QA].
• Control flow in active inference systems - [ArXiv] [QA].
• Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data - [ArXiv] [QA].
• Active Prompting with Chain-of-Thought for Large Language Models - [ArXiv] [QA].
• Aligning Text-to-Image Models using Human Feedback - [ArXiv] [QA].
• Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? - [ArXiv] [QA].
• Distributionally Robust Recourse Action - [ArXiv] [QA].
• Distributionally Robust Recourse Action - [ArXiv] [QA].
• Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities - [ArXiv] [QA].
• ChatGPT for Robotics: Design Principles and Model Abilities - [ArXiv] [QA].
• Weakly Supervised Label Learning Flows - [ArXiv] [QA].
• Weakly Supervised Label Learning Flows - [ArXiv] [QA].
• Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey - [ArXiv] [QA].
• A survey on online active learning - [ArXiv] [QA].
• PersonNeRF: Personalized Reconstruction from Photo Collections - [ArXiv] [QA].
• Tuning computer vision models with task rewards - [ArXiv] [QA].
• Aligning Language Models with Preferences through f-divergence Minimization - [ArXiv] [QA].
• À-la-carte Prompt Tuning (APT): Combining Distinct Data Via Composable Prompting - [ArXiv] [QA].
• Augmented Language Models: a Survey - [ArXiv] [QA].
• The Capacity for Moral Self-Correction in Large Language Models - [ArXiv] [QA].
• Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask - [ArXiv] [QA].
• The Stable Entropy Hypothesis and Entropy-Aware Decoding: An Analysis and Algorithm for Robust Natural Language Generation - [ArXiv] [QA].
• Stitchable Neural Networks - [ArXiv] [QA].
• A Reparameterized Discrete Diffusion Model for Text Generation - [ArXiv] [QA].
• The Wisdom of Hindsight Makes Language Models Better Instruction Followers - [ArXiv] [QA].
• Toolformer: Language Models Can Teach Themselves to Use Tools - [ArXiv] [QA].
• GPTScore: Evaluate as You Desire - [ArXiv] [QA].
• A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity - [ArXiv] [QA].
• Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning - [ArXiv] [QA].
• Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need - [ArXiv] [QA].
• Robust Camera Pose Refinement for Multi-Resolution Hash Encoding - [ArXiv] [QA].
• Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents - [ArXiv] [QA].
• Inference in Non-stationary High-Dimensional VARs - [ArXiv] [QA].
• Accelerating Large Language Model Decoding with Speculative Sampling - [ArXiv] [QA].
• Multimodal Chain-of-Thought Reasoning in Language Models - [ArXiv] [QA].
• Collaborating with language models for embodied reasoning - [ArXiv] [QA].
• Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models - [ArXiv] [QA].

January 2023

• Large Language Models Can Be Easily Distracted by Irrelevant Context - [ArXiv] [QA].
• Grounding Language Models to Images for Multimodal Inputs and Outputs - [ArXiv] [QA].
• Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning - [ArXiv] [QA].
• The Flan Collection: Designing Data and Methods for Effective Instruction Tuning - [ArXiv] [QA].
• Faithful Chain-of-Thought Reasoning - [ArXiv] [QA].
• DepGraph: Towards Any Structural Pruning - [ArXiv] [QA].
• Specializing Smaller Language Models towards Multi-Step Reasoning - [ArXiv] [QA].
• Adversarial Style Augmentation for Domain Generalization - [ArXiv] [QA].
• Adversarial Style Augmentation for Domain Generalization - [ArXiv] [QA].
• BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models - [ArXiv] [QA].
• Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling - [ArXiv] [QA].
• Understanding the Effectiveness of Very Large Language Models on Dialog Evaluation - [ArXiv] [QA].
• Cut and Learn for Unsupervised Object Detection and Instance Segmentation - [ArXiv] [QA].
• Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons - [ArXiv] [QA].
• HexPlane: A Fast Representation for Dynamic Scenes - [ArXiv] [QA].
• FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer - [ArXiv] [QA].
• OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation - [ArXiv] [QA].
• Dissociating language and thought in large language models: a cognitive perspective - [ArXiv] [QA].
• TikTalk: A Video-Based Dialogue Dataset for Multi-Modal Chitchat in Real World - [ArXiv] [QA].
• Learning to Memorize Entailment and Discourse Relations for Persona-Consistent Dialogues - [ArXiv] [QA].
• Pruning Compact ConvNets for Efficient Inference - [ArXiv] [QA].
• Pruning Compact ConvNets for Efficient Inference - [ArXiv] [QA].
• You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona - [ArXiv] [QA].
• Robust Dynamic Radiance Fields - [ArXiv] [QA].
• SPRING: Situated Conversation Agent Pretrained with Multimodal Questions from Incremental Layout Graph - [ArXiv] [QA].
• Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes - [ArXiv] [QA].
• Cross Modal Transformer: Towards Fast and Robust 3D Object Detection - [ArXiv] [QA].
• Rethinking Mobile Block for Efficient Attention-based Models - [ArXiv] [QA].
• One-Time Universal Hashing Quantum Digital Signatures without Perfect Keys - [ArXiv] [QA].
• Efficient On-device Training via Gradient Filtering - [ArXiv] [QA].

2022

December 2022

• Rethinking with Retrieval: Faithful Large Language Model Inference - [ArXiv] [QA].
• A Survey on In-context Learning - [ArXiv] [QA].
• Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples - [ArXiv] [QA].
• NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling - [ArXiv] [QA].
• Effects of Data Geometry in Early Deep Learning - [ArXiv] [QA].
• Effects of Data Geometry in Early Deep Learning - [ArXiv] [QA].
• Discriminator-Cooperated Feature Map Distillation for GAN Compression - [ArXiv] [QA].
• SMMix: Self-Motivated Image Mixing for Vision Transformers - [ArXiv] [QA].
• OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization - [ArXiv] [QA].
• Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography - [ArXiv] [QA].
• Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise - [ArXiv] [QA].
• 3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions - [ArXiv] [QA].
• Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery from Sparse Image Ensemble - [ArXiv] [QA].
• TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization - [ArXiv] [QA].
• Critic-Guided Decoding for Controlled Text Generation - [ArXiv] [QA].
• MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning - [ArXiv] [QA].
• MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions - [ArXiv] [QA].
• Ontologically Faithful Generation of Non-Player Character Dialogues - [ArXiv] [QA].
• Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers - [ArXiv] [QA].
• A Survey of Deep Learning for Mathematical Reasoning - [ArXiv] [QA].
• Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions - [ArXiv] [QA].
• LAMBADA: Backward Chaining for Automated Reasoning in Natural Language - [ArXiv] [QA].
• Controllable Text Generation with Language Constraints - [ArXiv] [QA].
• Towards Reasoning in Large Language Models: A Survey - [ArXiv] [QA].
• SeqDiffuSeq: Text Diffusion with Encoder-Decoder Transformers - [ArXiv] [QA].
• Large Language Models Are Reasoning Teachers - [ArXiv] [QA].
• Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters - [ArXiv] [QA].
• Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments - [ArXiv] [QA].
• A Probabilistic Framework for Lifelong Test-Time Adaptation - [ArXiv] [QA].
• Reasoning with Language Model Prompting: A Survey - [ArXiv] [QA].
• Large Language Models are Better Reasoners with Self-Verification - [ArXiv] [QA].
• Latent Diffusion for Language Generation - [ArXiv] [QA].
• Difformer: Empowering Diffusion Models on the Embedding Space for Text Generation - [ArXiv] [QA].
• Discovering Language Model Behaviors with Model-Written Evaluations - [ArXiv] [QA].
• PAL: Persona-Augmented Emotional Support Conversation Generation - [ArXiv] [QA].
• Emergent Analogical Reasoning in Large Language Models - [ArXiv] [QA].
• Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems - [ArXiv] [QA].
• Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model - [ArXiv] [QA].
• Let's Negotiate! A Survey of Negotiation Dialogue Systems - [ArXiv] [QA].
• The Impact of Symbolic Representations on In-context Learning for Few-shot Reasoning - [ArXiv] [QA].
• Teaching Small Language Models to Reason - [ArXiv] [QA].
• Injecting Domain Knowledge in Language Models for Task-Oriented Dialogue Systems - [ArXiv] [QA].
• On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning - [ArXiv] [QA].
• Real-Time Neural Light Field on Mobile Devices - [ArXiv] [QA].
• Constitutional AI: Harmlessness from AI Feedback - [ArXiv] [QA].
• NoPe-NeRF: Optimising Neural Radiance Field with No Pose Prior - [ArXiv] [QA].
• PD-Quant: Post-Training Quantization based on Prediction Difference Metric - [ArXiv] [QA].
• Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders - [ArXiv] [QA].
• Doubly Right Object Recognition: A Why Prompt for Visual Rationales - [ArXiv] [QA].
• Genie: Show Me the Data for Quantization - [ArXiv] [QA].
• BEVBert: Multimodal Map Pre-training for Language-guided Navigation - [ArXiv] [QA].
• Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation - [ArXiv] [QA].
• Successive Prompting for Decomposing Complex Questions - [ArXiv] [QA].
• LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models - [ArXiv] [QA].
• Teaching Matters: Investigating the Role of Supervision in Vision Transformers - [ArXiv] [QA].
• EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points - [ArXiv] [QA].
• Diffusion-SDF: Text-to-Shape via Voxelized Diffusion - [ArXiv] [QA].
• Momentum Decoding: Open-ended Text Generation As Graph Exploration - [ArXiv] [QA].
• Fast Point Cloud Generation with Straight Flows - [ArXiv] [QA].
• RT-NeRF: Real-Time On-Device Neural Radiance Fields Towards Immersive AR/VR Rendering - [ArXiv] [QA].
• ResFormer: Scaling ViTs with Multi-Resolution Training - [ArXiv] [QA].
• Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions - [ArXiv] [QA].
• Language Model Pre-training on True Negatives - [ArXiv] [QA].
• Distilling Reasoning Capabilities into Smaller Language Models - [ArXiv] [QA].

November 2022

• Feature Selection with Distance Correlation - [ArXiv] [QA].
• Fast Inference from Transformers via Speculative Decoding - [ArXiv] [QA].
• PLA: Language-Driven Open-Vocabulary 3D Scene Understanding - [ArXiv] [QA].
• NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers - [ArXiv] [QA].
• Decentralized Learning with Multi-Headed Distillation - [ArXiv] [QA].
• Post-training Quantization on Diffusion Models - [ArXiv] [QA].
• SuS-X: Training-Free Name-Only Transfer of Vision-Language Models - [ArXiv] [QA].
• In-Hand 3D Object Scanning from an RGB Sequence - [ArXiv] [QA].
• DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models - [ArXiv] [QA].
• RUST: Latent Neural Scene Representations from Unposed Imagery - [ArXiv] [QA].
• NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies - [ArXiv] [QA].
• ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision - [ArXiv] [QA].
• SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow - [ArXiv] [QA].
• SfM-TTR: Using Structure from Motion for Test-Time Refinement of Single-View Depth Networks - [ArXiv] [QA].
• Video Test-Time Adaptation for Action Recognition - [ArXiv] [QA].
• TSGP: Two-Stage Generative Prompting for Unsupervised Commonsense Question Answering - [ArXiv] [QA].
• Robust Mean Teacher for Continual and Gradual Test-Time Adaptation - [ArXiv] [QA].
• ActMAD: Activation Matching to Align Distributions for Test-Time-Training - [ArXiv] [QA].
• BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields - [ArXiv] [QA].
• Integrally Pre-Trained Transformer Pyramid Networks - [ArXiv] [QA].
• Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks - [ArXiv] [QA].
• Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations - [ArXiv] [QA].
• OCTET: Object-aware Counterfactual Explanations - [ArXiv] [QA].
• Explaining Image Classifiers with Multiscale Directional Image Representation - [ArXiv] [QA].
• Level-S$^2$fM: Structure from Motion on Neural Level Set of Implicit Surfaces - [ArXiv] [QA].
• PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning - [ArXiv] [QA].
• MATE: Masked Autoencoders are Online 3D Test-Time Learners - [ArXiv] [QA].
• NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization - [ArXiv] [QA].
• Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification - [ArXiv] [QA].
• You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model - [ArXiv] [QA].
• DynIBaR: Neural Dynamic Image-Based Rendering - [ArXiv] [QA].
• Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation - [ArXiv] [QA].
• LidarGait: Benchmarking 3D Gait Recognition with Point Clouds - [ArXiv] [QA].
• PAL: Program-aided Language Models - [ArXiv] [QA].
• Visual Programming: Compositional visual reasoning without training - [ArXiv] [QA].
• CRAFT: Concept Recursive Activation FacTorization for Explainability - [ArXiv] [QA].
• AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders - [ArXiv] [QA].
• MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis - [ArXiv] [QA].
• Holistic Evaluation of Language Models - [ArXiv] [QA].
• Galactica: A Large Language Model for Science - [ArXiv] [QA].
• Stare at What You See: Masked Image Modeling without Reconstruction - [ArXiv] [QA].
• Consistent Direct Time-of-Flight Video Depth Super-Resolution - [ArXiv] [QA].
• Teaching Algorithmic Reasoning via In-context Learning - [ArXiv] [QA].
• EVA: Exploring the Limits of Masked Visual Representation Learning at Scale - [ArXiv] [QA].
• Follow the Wisdom of the Crowd: Effective Text Generation via Minimum Bayes Risk Decoding - [ArXiv] [QA].
• PKCAM: Previous Knowledge Channel Attention Module - [ArXiv] [QA].
• PKCAM: Previous Knowledge Channel Attention Module - [ArXiv] [QA].
• What would Harry say? Building Dialogue Agents for Characters in a Story - [ArXiv] [QA].
• OpenGait: Revisiting Gait Recognition Toward Better Practicality - [ArXiv] [QA].
• Masked Contrastive Representation Learning - [ArXiv] [QA].
• Masked Contrastive Representation Learning - [ArXiv] [QA].
• MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation - [ArXiv] [QA].
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model - [ArXiv] [QA].
• Self-conditioned Embedding Diffusion for Text Generation - [ArXiv] [QA].
• Crosslingual Generalization through Multitask Finetuning - [ArXiv] [QA].
• PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales - [ArXiv] [QA].
• Flashlights: An Off-Caustic Lensed Star at Redshift $z$ = 1.26 in Abell 370 - [ArXiv] [QA].
• Late lumping of transformation-based feedback laws for boundary control systems - [ArXiv] [QA].
• Bipartite Mixed Membership Distribution-Free Model. A novel model for community detection in overlapping bipartite weighted networks - [ArXiv] [QA].
• CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation - [ArXiv] [QA].
• Evaluating Impact of Social Media Posts by Executives on Stock Prices - [ArXiv] [QA].

October 2022

• SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control - [ArXiv] [QA].
• GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers - [ArXiv] [QA].
• DiffusER: Discrete Diffusion via Edit-based Reconstruction - [ArXiv] [QA].
• Contrastive Decoding: Open-ended Text Generation as Optimization - [ArXiv] [QA].
• Streaming Radiance Fields for 3D Video Synthesis - [ArXiv] [QA].
• Contrastive Search Is What You Need For Neural Text Generation - [ArXiv] [QA].
• FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation - [ArXiv] [QA].
• DANLI: Deliberative Agent for Following Natural Language Instructions - [ArXiv] [QA].
• Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure - [ArXiv] [QA].
• Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation - [ArXiv] [QA].
• There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning - [ArXiv] [QA].
• WikiWhy: Answering and Explaining Cause-and-Effect Questions - [ArXiv] [QA].
• Large Language Models Can Self-Improve - [ArXiv] [QA].
• Scaling Instruction-Finetuned Language Models - [ArXiv] [QA].
• Scaling Laws for Reward Model Overoptimization - [ArXiv] [QA].
• DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation - [ArXiv] [QA].
• Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them - [ArXiv] [QA].
• DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models - [ArXiv] [QA].
• Keep Me Updated! Memory Management in Long-term Conversations - [ArXiv] [QA].
• Data-Efficient Augmentation for Training Neural Networks - [ArXiv] [QA].
• Data-Efficient Augmentation for Training Neural Networks - [ArXiv] [QA].
• DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation - [ArXiv] [QA].
• Language Models of Code are Few-Shot Commonsense Learners - [ArXiv] [QA].
• Explanations from Large Language Models Make Small Reasoners Better - [ArXiv] [QA].
• Large Language Models are few(1)-shot Table Reasoners - [ArXiv] [QA].
• Masked Motion Encoding for Self-Supervised Video Representation Learning - [ArXiv] [QA].
• Mind's Eye: Grounded Language Model Reasoning through Simulation - [ArXiv] [QA].
• Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning - [ArXiv] [QA].
• Uncertainty-Aware Unsupervised Image Deblurring with Deep Residual Prior - [ArXiv] [QA].
• Controllable Dialogue Simulation with In-Context Learning - [ArXiv] [QA].
• Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness - [ArXiv] [QA].
• Automatic Chain of Thought Prompting in Large Language Models - [ArXiv] [QA].
• Measuring and Narrowing the Compositionality Gap in Language Models - [ArXiv] [QA].
• FAST: Improving Controllability for Text Generation with Feedback Aware Self-Training - [ArXiv] [QA].
• VIMA: General Robot Manipulation with Multimodal Prompts - [ArXiv] [QA].
• Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering - [ArXiv] [QA].
• Language Models are Multilingual Chain-of-Thought Reasoners - [ArXiv] [QA].
• A Distributional Lens for Multi-Aspect Controllable Text Generation - [ArXiv] [QA].
• ReAct: Synergizing Reasoning and Acting in Language Models - [ArXiv] [QA].
• GLM-130B: An Open Bilingual Pre-trained Model - [ArXiv] [QA].
• Decomposed Prompting: A Modular Approach for Solving Complex Tasks - [ArXiv] [QA].
• CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations - [ArXiv] [QA].
• Group Personalized Federated Learning - [ArXiv] [QA].
• Group Personalized Federated Learning - [ArXiv] [QA].
• Knowledge Unlearning for Mitigating Privacy Risks in Language Models - [ArXiv] [QA].
• Extraneousness-Aware Imitation Learning - [ArXiv] [QA].
• Extraneousness-Aware Imitation Learning - [ArXiv] [QA].
• Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization - [ArXiv] [QA].
• Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought - [ArXiv] [QA].
• Complexity-Based Prompting for Multi-Step Reasoning - [ArXiv] [QA].
• "Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction - [ArXiv] [QA].
• NeRF: Neural Radiance Field in 3D Vision, A Comprehensive Review - [ArXiv] [QA].
• Multimodal Analogical Reasoning over Knowledge Graphs - [ArXiv] [QA].

September 2022

• Compositional Semantic Parsing with Large Language Models - [ArXiv] [QA].
• Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning - [ArXiv] [QA].
• Improving alignment of dialogue agents via targeted human judgements - [ArXiv] [QA].
• Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts - [ArXiv] [QA].
• Target-Guided Open-Domain Conversation Planning - [ArXiv] [QA].
• Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering - [ArXiv] [QA].
• Loc-NeRF: Monte Carlo Localization using Neural Radiance Fields - [ArXiv] [QA].
• A Benchmark for Understanding and Generating Dialogue between Characters in Stories - [ArXiv] [QA].
• Psychologically-informed chain-of-thought prompts for metaphor understanding in large language models - [ArXiv] [QA].
• A Geometric Perspective on Variational Autoencoders - [ArXiv] [QA].
• Selective Annotation Makes Language Models Better Few-Shot Learners - [ArXiv] [QA].

August 2022

• Radon concentration variations at the Yangyang underground laboratory - [ArXiv] [QA].
• Faithful Reasoning Using Large Language Models - [ArXiv] [QA].
• Masked Autoencoders Enable Efficient Knowledge Distillers - [ArXiv] [QA].
• Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned - [ArXiv] [QA].
• Improving Personality Consistency in Conversation by Persona Extending - [ArXiv] [QA].
• CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation - [ArXiv] [QA].
• Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems - [ArXiv] [QA].
• BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage - [ArXiv] [QA].
• Character Generation through Self-Supervised Vectorization - [ArXiv] [QA].
• Character Generation through Self-Supervised Vectorization - [ArXiv] [QA].
• Composable Text Controls in Latent Space with ODEs - [ArXiv] [QA].

July 2022

• MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures - [ArXiv] [QA].
• Visual correspondence-based explanations improve AI robustness and human-AI team accuracy - [ArXiv] [QA].
• Dynamic Planning in Open-Ended Dialogue using Reinforcement Learning - [ArXiv] [QA].
• Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent - [ArXiv] [QA].
• Language Model Cascades - [ArXiv] [QA].
• Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability - [ArXiv] [QA].
• Language models show human-like content effects on reasoning - [ArXiv] [QA].
• Inner Monologue: Embodied Reasoning through Planning with Language Models - [ArXiv] [QA].
• Bootstrapping a User-Centered Task-Oriented Dialogue System - [ArXiv] [QA].
• LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action - [ArXiv] [QA].
• Back to the Source: Diffusion-Driven Test-Time Adaptation - [ArXiv] [QA].
• PVO: Panoptic Visual Odometry - [ArXiv] [QA].
• Rationale-Augmented Ensembles in Language Models - [ArXiv] [QA].

June 2022

• Solving Quantitative Reasoning Problems with Language Models - [ArXiv] [QA].
• Invariant Causal Mechanisms through Distribution Matching - [ArXiv] [QA].
• Invariant Causal Mechanisms through Distribution Matching - [ArXiv] [QA].
• GODEL: Large-Scale Pre-Training for Goal-Directed Dialog - [ArXiv] [QA].
• KiloNeuS: A Versatile Neural Implicit Surface Representation for Real-Time Rendering - [ArXiv] [QA].
• Marginal Tail-Adaptive Normalizing Flows - [ArXiv] [QA].
• Marginal Tail-Adaptive Normalizing Flows - [ArXiv] [QA].
• MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge - [ArXiv] [QA].
• Balancing Discriminability and Transferability for Source-Free Domain Adaptation - [ArXiv] [QA].
• Emergent Abilities of Large Language Models - [ArXiv] [QA].
• Confidence Score for Source-Free Unsupervised Domain Adaptation - [ArXiv] [QA].
• Transformers are Meta-Reinforcement Learners - [ArXiv] [QA].
• Transformers are Meta-Reinforcement Learners - [ArXiv] [QA].
• Language Models are General-Purpose Interfaces - [ArXiv] [QA].
• Mining Multi-Label Samples from Single Positive Labels - [ArXiv] [QA].
• Mining Multi-Label Samples from Single Positive Labels - [ArXiv] [QA].
• Building a Personalized Dialogue System with Prompt-Tuning - [ArXiv] [QA].
• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models - [ArXiv] [QA].
• Spatial-temporal Concept based Explanation of 3D ConvNets - [ArXiv] [QA].
• MobileOne: An Improved One millisecond Mobile Backbone - [ArXiv] [QA].
• Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering - [ArXiv] [QA].
• Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation - [ArXiv] [QA].
• Making Large Language Models Better Reasoners with Step-Aware Verifier - [ArXiv] [QA].
• PROMISSING: Pruning Missing Values in Neural Networks - [ArXiv] [QA].
• PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images - [ArXiv] [QA].
• Unified Recurrence Modeling for Video Action Anticipation - [ArXiv] [QA].
• Unified Recurrence Modeling for Video Action Anticipation - [ArXiv] [QA].
• NIPQ: Noise proxy-based Integrated Pseudo-Quantization - [ArXiv] [QA].
• Hopular: Modern Hopfield Networks for Tabular Data - [ArXiv] [QA].
• One- and two-dimensional solitons in spin-orbit-coupled Bose-Einstein condensates with fractional kinetic energy - [ArXiv] [QA].
• A Theoretical Framework for Inference Learning - [ArXiv] [QA].

May 2022

• New asymptotically flat static vacuum metrics with near Euclidean boundary data - [ArXiv] [QA].
• itKD: Interchange Transfer-based Knowledge Distillation for 3D Object Detection - [ArXiv] [QA].
• Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning - [ArXiv] [QA].
• Robust Weight Perturbation for Adversarial Training - [ArXiv] [QA].
• Robust Weight Perturbation for Adversarial Training - [ArXiv] [QA].
• CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI - [ArXiv] [QA].
• CoNT: Contrastive Neural Text Generation - [ArXiv] [QA].
• Controllable Text Generation with Neurally-Decomposed Oracle - [ArXiv] [QA].
• Diffusion-LM Improves Controllable Text Generation - [ArXiv] [QA].
• GIT: A Generative Image-to-text Transformer for Vision and Language - [ArXiv] [QA].
• Prototype Based Classification from Hierarchy to Fairness - [ArXiv] [QA].
• Prototype Based Classification from Hierarchy to Fairness - [ArXiv] [QA].
• Quark: Controllable Text Generation with Reinforced Unlearning - [ArXiv] [QA].
• RSTGen: Imbuing Fine-Grained Interpretable Control into Long-FormText Generators - [ArXiv] [QA].
• TALM: Tool Augmented Language Models - [ArXiv] [QA].
• Large Language Models are Zero-Shot Reasoners - [ArXiv] [QA].
• Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations - [ArXiv] [QA].
• PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection - [ArXiv] [QA].
• Least-to-Most Prompting Enables Complex Reasoning in Large Language Models - [ArXiv] [QA].
• RankGen: Improving Text Generation with Large Ranking Models - [ArXiv] [QA].
• Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning - [ArXiv] [QA].
• Learning Graph Structure from Convolutional Mixtures - [ArXiv] [QA].
• Learning Graph Structure from Convolutional Mixtures - [ArXiv] [QA].
• Target-Guided Dialogue Response Generation Using Commonsense and Data Augmentation - [ArXiv] [QA].
• Robust Losses for Learning Value Functions - [ArXiv] [QA].
• Robust Losses for Learning Value Functions - [ArXiv] [QA].
• LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning - [ArXiv] [QA].
• Long-term Control for Dialogue Generation: Methods and Evaluation - [ArXiv] [QA].
• Reduce Information Loss in Transformers for Pluralistic Image Inpainting - [ArXiv] [QA].
• Towards a Progression-Aware Autonomous Dialogue Agent - [ArXiv] [QA].
• The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning - [ArXiv] [QA].
• Spiking Graph Convolutional Networks - [ArXiv] [QA].
• Spiking Graph Convolutional Networks - [ArXiv] [QA].
• A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration - [ArXiv] [QA].
• Lexical Knowledge Internalization for Neural Dialog Generation - [ArXiv] [QA].
• Learning to Transfer Prompts for Text Generation - [ArXiv] [QA].
• OPT: Open Pre-trained Transformer Language Models - [ArXiv] [QA].

April 2022

• Building a Role Specified Open-Domain Dialogue System Leveraging Large-Scale Language Models - [ArXiv] [QA].
• Flamingo: a Visual Language Model for Few-Shot Learning - [ArXiv] [QA].
• Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversation - [ArXiv] [QA].
• MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation - [ArXiv] [QA].
• Meet Your Favorite Character: Open-domain Chatbot Mimicking Fictional Characters with only a Few Utterances - [ArXiv] [QA].
• Sharper Utility Bounds for Differentially Private Models - [ArXiv] [QA].
• Sharper Utility Bounds for Differentially Private Models - [ArXiv] [QA].
• Towards Multi-Turn Empathetic Dialogs with Positive Emotion Elicitation - [ArXiv] [QA].
• Event Transition Planning for Open-ended Text Generation - [ArXiv] [QA].
• Visio-Linguistic Brain Encoding - [ArXiv] [QA].
• Visio-Linguistic Brain Encoding - [ArXiv] [QA].
• A Personalized Dialogue Generator with Implicit User Persona Detection - [ArXiv] [QA].
• LaMemo: Language Modeling with Look-Ahead Memory - [ArXiv] [QA].
• GPT-NeoX-20B: An Open-Source Autoregressive Language Model - [ArXiv] [QA].
• Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback - [ArXiv] [QA].
• Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting - [ArXiv] [QA].
• Federated Learning with Partial Model Personalization - [ArXiv] [QA].
• Federated Learning with Partial Model Personalization - [ArXiv] [QA].
• Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy - [ArXiv] [QA].
• Knowledge Infused Decoding - [ArXiv] [QA].
• Knowledge Infused Decoding - [ArXiv] [QA].
• Towards An End-to-End Framework for Flow-Guided Video Inpainting - [ArXiv] [QA].
• There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory - [ArXiv] [QA].
• Efficient Test-Time Model Adaptation without Forgetting - [ArXiv] [QA].
• C3KG: A Chinese Commonsense Conversation Knowledge Graph - [ArXiv] [QA].
• Can language models learn from explanations in context? - [ArXiv] [QA].
• PaLM: Scaling Language Modeling with Pathways - [ArXiv] [QA].
• $\textit{latent}$-GLAT: Glancing at Latent Variables for Parallel Text Generation - [ArXiv] [QA].
• Learning Neural Acoustic Fields - [ArXiv] [QA].
• Learning Neural Acoustic Fields - [ArXiv] [QA].
• Do As I Can, Not As I Say: Grounding Language in Robotic Affordances - [ArXiv] [QA].
• Value Gradient weighted Model-Based Reinforcement Learning - [ArXiv] [QA].
• Value Gradient weighted Model-Based Reinforcement Learning - [ArXiv] [QA].
• Probabilistic Implicit Scene Completion - [ArXiv] [QA].
• Probabilistic Implicit Scene Completion - [ArXiv] [QA].
• Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language - [ArXiv] [QA].

March 2022

• R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis - [ArXiv] [QA].
• MAT: Mask-Aware Transformer for Large Hole Image Inpainting - [ArXiv] [QA].
• Generalizing Few-Shot NAS with Gradient Matching - [ArXiv] [QA].
• Generalizing Few-Shot NAS with Gradient Matching - [ArXiv] [QA].
• STaR: Bootstrapping Reasoning With Reasoning - [ArXiv] [QA].
• Continual Test-Time Domain Adaptation - [ArXiv] [QA].
• MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation - [ArXiv] [QA].
• A Comparative Survey of Deep Active Learning - [ArXiv] [QA].
• Linking Emergent and Natural Languages via Corpus Transfer - [ArXiv] [QA].
• Linking Emergent and Natural Languages via Corpus Transfer - [ArXiv] [QA].
• Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition - [ArXiv] [QA].
• Language modeling via stochastic processes - [ArXiv] [QA].
• Language modeling via stochastic processes - [ArXiv] [QA].
• Self-Consistency Improves Chain of Thought Reasoning in Language Models - [ArXiv] [QA].
• Teaching language models to support answers with verified quotes - [ArXiv] [QA].
• Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems - [ArXiv] [QA].
• On Robust Prefix-Tuning for Text Classification - [ArXiv] [QA].
• On Robust Prefix-Tuning for Text Classification - [ArXiv] [QA].
• Generative Principal Component Analysis - [ArXiv] [QA].
• Generative Principal Component Analysis - [ArXiv] [QA].
• Monotonic Differentiable Sorting Networks - [ArXiv] [QA].
• A Framework and Benchmark for Deep Batch Active Learning for Regression - [ArXiv] [QA].
• RoMe: A Robust Metric for Evaluating Natural Language Generation - [ArXiv] [QA].
• PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation - [ArXiv] [QA].
• Memorizing Transformers - [ArXiv] [QA].
• Memorizing Transformers - [ArXiv] [QA].
• Multi-Stage Prompting for Knowledgeable Dialogue Generation - [ArXiv] [QA].
• Differentiable DAG Sampling - [ArXiv] [QA].
• Differentiable DAG Sampling - [ArXiv] [QA].
• Iteratively Prompt Pre-trained Language Models for Chain of Thought - [ArXiv] [QA].
• Unified Visual Transformer Compression - [ArXiv] [QA].
• Unified Visual Transformer Compression - [ArXiv] [QA].
• Vision-Based Manipulators Need to Also See from Their Hands - [ArXiv] [QA].
• Vision-Based Manipulators Need to Also See from Their Hands - [ArXiv] [QA].
• Orchestrated Value Mapping for Reinforcement Learning - [ArXiv] [QA].
• Orchestrated Value Mapping for Reinforcement Learning - [ArXiv] [QA].
• BiBERT: Accurate Fully Binarized BERT - [ArXiv] [QA].
• MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting - [ArXiv] [QA].
• An Interpretable Neuro-Symbolic Reasoning Framework for Task-Oriented Dialogue Generation - [ArXiv] [QA].
• Long Time No See! Open-Domain Conversation with Long-Term Persona Memory - [ArXiv] [QA].
• Source-free Video Domain Adaptation by Learning Temporal Consistency for Action Recognition - [ArXiv] [QA].
• Kubric: A scalable dataset generator - [ArXiv] [QA].
• Adaptive Cross-Layer Attention for Image Restoration - [ArXiv] [QA].
• Adaptive Cross-Layer Attention for Image Restoration - [ArXiv] [QA].
• Neural Simulated Annealing - [ArXiv] [QA].
• Neural Simulated Annealing - [ArXiv] [QA].
• Training language models to follow instructions with human feedback - [ArXiv] [QA].
• Self-Supervised Scene Flow Estimation with 4-D Automotive Radar - [ArXiv] [QA].
• Follow-Up of Extended Shells around B[e] Stars - [ArXiv] [QA].
• Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding - [ArXiv] [QA].
• MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning - [ArXiv] [QA].

February 2022

• Rethinking and Refining the Distinct Metric - [ArXiv] [QA].
• The Spectral Bias of Polynomial Neural Networks - [ArXiv] [QA].
• The Spectral Bias of Polynomial Neural Networks - [ArXiv] [QA].
• AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation - [ArXiv] [QA].
• Ask2Mask: Guided Data Selection for Masked Speech Modeling - [ArXiv] [QA].
• Ask2Mask: Guided Data Selection for Masked Speech Modeling - [ArXiv] [QA].
• Auto-scaling Vision Transformers without Training - [ArXiv] [QA].
• Auto-scaling Vision Transformers without Training - [ArXiv] [QA].
• COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics - [ArXiv] [QA].
• Pseudo Numerical Methods for Diffusion Models on Manifolds - [ArXiv] [QA].
• Pseudo Numerical Methods for Diffusion Models on Manifolds - [ArXiv] [QA].
• Bit-wise Training of Neural Network Weights - [ArXiv] [QA].
• Bit-wise Training of Neural Network Weights - [ArXiv] [QA].
• Gaussian Mixture Convolution Networks - [ArXiv] [QA].
• Gaussian Mixture Convolution Networks - [ArXiv] [QA].
• cosFormer: Rethinking Softmax in Attention - [ArXiv] [QA].
• cosFormer: Rethinking Softmax in Attention - [ArXiv] [QA].
• Task-Agnostic Graph Explanations - [ArXiv] [QA].
• Task-Agnostic Graph Explanations - [ArXiv] [QA].
• Don't Lie to Me! Robust and Efficient Explainability with Verified Perturbation Analysis - [ArXiv] [QA].
• A precortical module for robust CNNs to light variations - [ArXiv] [QA].
• A precortical module for robust CNNs to light variations - [ArXiv] [QA].
• Domain Adaptation via Prompt Learning - [ArXiv] [QA].
• FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows - [ArXiv] [QA].
• A Contrastive Framework for Neural Text Generation - [ArXiv] [QA].
• Conditional Contrastive Learning with Kernel - [ArXiv] [QA].
• Conditional Contrastive Learning with Kernel - [ArXiv] [QA].
• Domain Adversarial Training: A Game Perspective - [ArXiv] [QA].
• Domain Adversarial Training: A Game Perspective - [ArXiv] [QA].
• GiraffeDet: A Heavy-Neck Paradigm for Object Detection - [ArXiv] [QA].
• GiraffeDet: A Heavy-Neck Paradigm for Object Detection - [ArXiv] [QA].
• Survey of Hallucination in Natural Language Generation - [ArXiv] [QA].
• GrASP: Gradient-Based Affordance Selection for Planning - [ArXiv] [QA].
• GrASP: Gradient-Based Affordance Selection for Planning - [ArXiv] [QA].
• Message Passing Neural PDE Solvers - [ArXiv] [QA].
• Message Passing Neural PDE Solvers - [ArXiv] [QA].
• User Satisfaction Estimation with Sequential Dialogue Act Modeling in Goal-oriented Conversational Systems - [ArXiv] [QA].
• A Survey on Retrieval-Augmented Text Generation - [ArXiv] [QA].
• CLA-NeRF: Category-Level Articulated Neural Radiance Field - [ArXiv] [QA].

January 2022

• Signing the Supermask: Keep, Hide, Invert - [ArXiv] [QA].
• Signing the Supermask: Keep, Hide, Invert - [ArXiv] [QA].
• Few-Shot Backdoor Attacks on Visual Object Tracking - [ArXiv] [QA].
• Few-Shot Backdoor Attacks on Visual Object Tracking - [ArXiv] [QA].
• Robust Imitation Learning from Corrupted Demonstrations - [ArXiv] [QA].
• Robust Imitation Learning from Corrupted Demonstrations - [ArXiv] [QA].
• Counterfactual Plans under Distributional Ambiguity - [ArXiv] [QA].
• Counterfactual Plans under Distributional Ambiguity - [ArXiv] [QA].
• DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR - [ArXiv] [QA].
• DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR - [ArXiv] [QA].
• Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model - [ArXiv] [QA].
• Chain-of-Thought Prompting Elicits Reasoning in Large Language Models - [ArXiv] [QA].
• DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence - [ArXiv] [QA].
• Natural Language Descriptions of Deep Visual Features - [ArXiv] [QA].
• Natural Language Descriptions of Deep Visual Features - [ArXiv] [QA].
• Explanatory Learning: Beyond Empiricism in Neural Networks - [ArXiv] [QA].
• Explanatory Learning: Beyond Empiricism in Neural Networks - [ArXiv] [QA].
• RePaint: Inpainting using Denoising Diffusion Probabilistic Models - [ArXiv] [QA].
• Learning Graph Augmentations to Learn Graph Representations - [ArXiv] [QA].
• Patches Are All You Need? - [ArXiv] [QA].
• Patches Are All You Need? - [ArXiv] [QA].
• Fast Differentiable Matrix Square Root - [ArXiv] [QA].
• Fast Differentiable Matrix Square Root - [ArXiv] [QA].
• LaMDA: Language Models for Dialog Applications - [ArXiv] [QA].
• Safe Deep RL in 3D Environments using Human Feedback - [ArXiv] [QA].
• Safe Deep RL in 3D Environments using Human Feedback - [ArXiv] [QA].
• Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents - [ArXiv] [QA].
• Parameter-free Online Test-time Adaptation - [ArXiv] [QA].
• A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models - [ArXiv] [QA].
• Neural Circuit Architectural Priors for Embodied Control - [ArXiv] [QA].
• Neural Circuit Architectural Priors for Embodied Control - [ArXiv] [QA].
• QuadTree Attention for Vision Transformers - [ArXiv] [QA].
• QuadTree Attention for Vision Transformers - [ArXiv] [QA].
• C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System - [ArXiv] [QA].
• Global existence and decay estimates for a viscoelastic plate equation with nonlinear damping and logarithmic nonlinearity - [ArXiv] [QA].

2021

December 2021

• Optimal Representations for Covariate Shift - [ArXiv] [QA].
• Optimal Representations for Covariate Shift - [ArXiv] [QA].
• On the Role of Neural Collapse in Transfer Learning - [ArXiv] [QA].
• On the Role of Neural Collapse in Transfer Learning - [ArXiv] [QA].
• Self Reward Design with Fine-grained Interpretability - [ArXiv] [QA].
• Self Reward Design with Fine-grained Interpretability - [ArXiv] [QA].
• Generative Kernel Continual learning - [ArXiv] [QA].
• Transformers Can Do Bayesian Inference - [ArXiv] [QA].
• WebGPT: Browser-assisted question-answering with human feedback - [ArXiv] [QA].
• NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics - [ArXiv] [QA].
• Reframing Human-AI Collaboration for Generating Free-Text Explanations - [ArXiv] [QA].
• Learning to Prompt for Continual Learning - [ArXiv] [QA].
• Learning to Prompt for Continual Learning - [ArXiv] [QA].
• Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge - [ArXiv] [QA].
• Rethinking Nearest Neighbors for Visual Classification - [ArXiv] [QA].
• Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta Information - [ArXiv] [QA].
• Massive-scale Decoding for Text Generation using Lattices - [ArXiv] [QA].
• MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation - [ArXiv] [QA].
• Real-Time Neural Voice Camouflage - [ArXiv] [QA].
• Real-Time Neural Voice Camouflage - [ArXiv] [QA].
• GLaM: Efficient Scaling of Language Models with Mixture-of-Experts - [ArXiv] [QA].
• Step-unrolled Denoising Autoencoders for Text Generation - [ArXiv] [QA].
• Step-unrolled Denoising Autoencoders for Text Generation - [ArXiv] [QA].
• CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability - [ArXiv] [QA].
• Self-Supervised Bot Play for Conversational Recommendation with Justifications - [ArXiv] [QA].
• On Convergence of Federated Averaging Langevin Dynamics - [ArXiv] [QA].
• Scaling Language Models: Methods, Analysis & Insights from Training Gopher - [ArXiv] [QA].
• Pareto Domain Adaptation - [ArXiv] [QA].
• Pareto Domain Adaptation - [ArXiv] [QA].
• DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification - [ArXiv] [QA].
• Universalizing Weak Supervision - [ArXiv] [QA].
• Universalizing Weak Supervision - [ArXiv] [QA].
• Genetic Algorithm for Constrained Molecular Inverse Design - [ArXiv] [QA].
• Genetic Algorithm for Constrained Molecular Inverse Design - [ArXiv] [QA].
• Variational Wasserstein gradient flow - [ArXiv] [QA].
• Variational Wasserstein gradient flow - [ArXiv] [QA].
• Linear algebra with transformers - [ArXiv] [QA].
• Linear algebra with transformers - [ArXiv] [QA].
• Mind the gap in university rankings: a complex network approach towards fairness - [ArXiv] [QA].
• Magnetic correction to the Anomalous Magnetic Moment of Electron - [ArXiv] [QA].
• Neural Stochastic Dual Dynamic Programming - [ArXiv] [QA].
• Neural Stochastic Dual Dynamic Programming - [ArXiv] [QA].
• A General Language Assistant as a Laboratory for Alignment - [ArXiv] [QA].
• Routing with Self-Attention for Multimodal Capsule Networks - [ArXiv] [QA].
• Routing with Self-Attention for Multimodal Capsule Networks - [ArXiv] [QA].

November 2021

• Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective - [ArXiv] [QA].
• GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-Supervised Learning and Explicit Policy Injection - [ArXiv] [QA].
• Group equivariant neural posterior estimation - [ArXiv] [QA].
• Group equivariant neural posterior estimation - [ArXiv] [QA].
• Node-Level Differentially Private Graph Neural Networks - [ArXiv] [QA].
• Node-Level Differentially Private Graph Neural Networks - [ArXiv] [QA].
• Deep Point Cloud Reconstruction - [ArXiv] [QA].
• Deep Point Cloud Reconstruction - [ArXiv] [QA].
• Lossless Compression with Probabilistic Circuits - [ArXiv] [QA].
• Lossless Compression with Probabilistic Circuits - [ArXiv] [QA].
• Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction - [ArXiv] [QA].
• Plant 'n' Seek: Can You Find the Winning Ticket? - [ArXiv] [QA].
• Plant 'n' Seek: Can You Find the Winning Ticket? - [ArXiv] [QA].
• Deep Probability Estimation - [ArXiv] [QA].
• Deep Probability Estimation - [ArXiv] [QA].
• Are Vision Transformers Robust to Patch Perturbations? - [ArXiv] [QA].
• Are Vision Transformers Robust to Patch Perturbations? - [ArXiv] [QA].
• Deep Safe Multi-Task Learning - [ArXiv] [QA].
• Deep Safe Multi-Task Learning - [ArXiv] [QA].
• Selective Ensembles for Consistent Predictions - [ArXiv] [QA].
• Bolstering Stochastic Gradient Descent with Model Building - [ArXiv] [QA].
• Bolstering Stochastic Gradient Descent with Model Building - [ArXiv] [QA].
• Sliced Recursive Transformer - [ArXiv] [QA].
• Sliced Recursive Transformer - [ArXiv] [QA].
• MT3: Multi-Task Multitrack Music Transcription - [ArXiv] [QA].
• MT3: Multi-Task Multitrack Music Transcription - [ArXiv] [QA].
• LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs - [ArXiv] [QA].
• DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks - [ArXiv] [QA].
• Can Vision Transformers Perform Convolution? - [ArXiv] [QA].
• Can Vision Transformers Perform Convolution? - [ArXiv] [QA].
• LSTA-Net: Long short-term Spatio-Temporal Aggregation Network for Skeleton-based Action Recognition - [ArXiv] [QA].

October 2021

• Template Filling for Controllable Commonsense Reasoning - [ArXiv] [QA].
• Improving Fairness via Federated Learning - [ArXiv] [QA].
• Improving Fairness via Federated Learning - [ArXiv] [QA].
• The magnitude vector of images - [ArXiv] [QA].
• The magnitude vector of images - [ArXiv] [QA].
• Training Verifiers to Solve Math Word Problems - [ArXiv] [QA].
• s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning - [ArXiv] [QA].
• The Efficiency Misnomer - [ArXiv] [QA].
• The Efficiency Misnomer - [ArXiv] [QA].
• Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models? - [ArXiv] [QA].
• Center Loss Regularization for Continual Learning - [ArXiv] [QA].
• Center Loss Regularization for Continual Learning - [ArXiv] [QA].
• Fast Model Editing at Scale - [ArXiv] [QA].
• Fast Model Editing at Scale - [ArXiv] [QA].
• BERMo: What can BERT learn from ELMo? - [ArXiv] [QA].
• BERMo: What can BERT learn from ELMo? - [ArXiv] [QA].
• TLDR: Twin Learning for Dimensionality Reduction - [ArXiv] [QA].
• TLDR: Twin Learning for Dimensionality Reduction - [ArXiv] [QA].
• Natural Attribute-based Shift Detection - [ArXiv] [QA].
• Natural Attribute-based Shift Detection - [ArXiv] [QA].
• Illiterate DALL-E Learns to Compose - [ArXiv] [QA].
• Illiterate DALL-E Learns to Compose - [ArXiv] [QA].
• Multimodal Dialogue Response Generation - [ArXiv] [QA].
• Comparing Human and Machine Bias in Face Recognition - [ArXiv] [QA].
• Comparing Human and Machine Bias in Face Recognition - [ArXiv] [QA].
• Generated Knowledge Prompting for Commonsense Reasoning - [ArXiv] [QA].
• On Learning the Transformer Kernel - [ArXiv] [QA].
• On Learning the Transformer Kernel - [ArXiv] [QA].
• Multitask Prompted Training Enables Zero-Shot Task Generalization - [ArXiv] [QA].
• Few-Shot Bot: Prompt-Based Learning for Dialogue Systems - [ArXiv] [QA].
• On-Policy Model Errors in Reinforcement Learning - [ArXiv] [QA].
• On-Policy Model Errors in Reinforcement Learning - [ArXiv] [QA].
• ContraQA: Question Answering under Contradicting Contexts - [ArXiv] [QA].
• ContraQA: Question Answering under Contradicting Contexts - [ArXiv] [QA].
• RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models - [ArXiv] [QA].
• Parallel Deep Neural Networks Have Zero Duality Gap - [ArXiv] [QA].
• Parallel Deep Neural Networks Have Zero Duality Gap - [ArXiv] [QA].
• Causal discovery from conditionally stationary time-series - [ArXiv] [QA].
• Causal discovery from conditionally stationary time-series - [ArXiv] [QA].
• Molecular Graph Generation via Geometric Scattering - [ArXiv] [QA].
• Molecular Graph Generation via Geometric Scattering - [ArXiv] [QA].
• DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer - [ArXiv] [QA].
• Relative Molecule Self-Attention Transformer - [ArXiv] [QA].
• Relative Molecule Self-Attention Transformer - [ArXiv] [QA].
• Certified Patch Robustness via Smoothed Vision Transformers - [ArXiv] [QA].
• Certified Patch Robustness via Smoothed Vision Transformers - [ArXiv] [QA].
• Global Vision Transformer Pruning with Hessian-Aware Saliency - [ArXiv] [QA].
• Long Expressive Memory for Sequence Modeling - [ArXiv] [QA].
• Long Expressive Memory for Sequence Modeling - [ArXiv] [QA].
• Multi-Agent MDP Homomorphic Networks - [ArXiv] [QA].
• Multi-Agent MDP Homomorphic Networks - [ArXiv] [QA].
• Neural Link Prediction with Walk Pooling - [ArXiv] [QA].
• Neural Link Prediction with Walk Pooling - [ArXiv] [QA].
• FRL: Federated Rank Learning - [ArXiv] [QA].
• On the Limitations of Multimodal VAEs - [ArXiv] [QA].
• On the Limitations of Multimodal VAEs - [ArXiv] [QA].
• Token Pooling in Vision Transformers - [ArXiv] [QA].
• FOCUS: Familiar Objects in Common and Uncommon Settings - [ArXiv] [QA].
• FOCUS: Familiar Objects in Common and Uncommon Settings - [ArXiv] [QA].
• Hyperparameter Tuning with Renyi Differential Privacy - [ArXiv] [QA].
• Adversarial Retriever-Ranker for dense text retrieval - [ArXiv] [QA].
• Adversarial Retriever-Ranker for dense text retrieval - [ArXiv] [QA].
• RAR: Region-Aware Point Cloud Registration - [ArXiv] [QA].
• RAR: Region-Aware Point Cloud Registration - [ArXiv] [QA].
• Cartoon Explanations of Image Classifiers - [ArXiv] [QA].
• Cartoon Explanations of Image Classifiers - [ArXiv] [QA].
• Situated Dialogue Learning through Procedural Environment Generation - [ArXiv] [QA].
• On the Optimal Memorization Power of ReLU Neural Networks - [ArXiv] [QA].
• On the Optimal Memorization Power of ReLU Neural Networks - [ArXiv] [QA].
• Generative Modeling with Optimal Transport Maps - [ArXiv] [QA].
• Generative Modeling with Optimal Transport Maps - [ArXiv] [QA].
• Federated Learning via Plurality Vote - [ArXiv] [QA].
• Federated Learning via Plurality Vote - [ArXiv] [QA].
• Nested Policy Reinforcement Learning - [ArXiv] [QA].
• Nested Policy Reinforcement Learning - [ArXiv] [QA].
• How BPE Affects Memorization in Transformers - [ArXiv] [QA].
• How BPE Affects Memorization in Transformers - [ArXiv] [QA].
• On The Transferability of Deep-Q Networks - [ArXiv] [QA].
• On The Transferability of Deep-Q Networks - [ArXiv] [QA].
• Test-time Batch Statistics Calibration for Covariate Shift - [ArXiv] [QA].
• Test-time Batch Statistics Calibration for Covariate Shift - [ArXiv] [QA].
• Geometric Algebra Attention Networks for Small Point Clouds - [ArXiv] [QA].
• Geometric Algebra Attention Networks for Small Point Clouds - [ArXiv] [QA].
• EntQA: Entity Linking as Question Answering - [ArXiv] [QA].
• EntQA: Entity Linking as Question Answering - [ArXiv] [QA].
• Autoregressive Diffusion Models - [ArXiv] [QA].
• Autoregressive Diffusion Models - [ArXiv] [QA].
• Generalized Kernel Thinning - [ArXiv] [QA].
• Generalized Kernel Thinning - [ArXiv] [QA].
• Batch size-invariance for policy optimization - [ArXiv] [QA].
• Batch size-invariance for policy optimization - [ArXiv] [QA].
• Dynamics of targeted ransomware negotiation - [ArXiv] [QA].
• Vision-Only Robot Navigation in a Neural Radiance World - [ArXiv] [QA].

September 2021

• Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System - [ArXiv] [QA].
• Stochastic Training is Not Necessary for Generalization - [ArXiv] [QA].
• Stochastic Training is Not Necessary for Generalization - [ArXiv] [QA].
• IGLU: Efficient GCN Training via Lazy Updates - [ArXiv] [QA].
• IGLU: Efficient GCN Training via Lazy Updates - [ArXiv] [QA].
• OpenViDial 2.0: A Larger-Scale, Open-Domain Dialogue Generation Dataset with Visual Contexts - [ArXiv] [QA].
• Learning Neural Templates for Recommender Dialogue System - [ArXiv] [QA].
• A Survey on Cost Types, Interaction Schemes, and Annotator Performance Models in Selection Algorithms for Active Learning in Classification - [ArXiv] [QA].
• Recursively Summarizing Books with Human Feedback - [ArXiv] [QA].
• Neural networks with trainable matrix activation functions - [ArXiv] [QA].
• Neural networks with trainable matrix activation functions - [ArXiv] [QA].
• PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation - [ArXiv] [QA].
• DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation - [ArXiv] [QA].
• Perspective-taking and Pragmatics for Generating Empathetic Responses Focused on Emotion Causes - [ArXiv] [QA].
• Scaling Laws for Neural Machine Translation - [ArXiv] [QA].
• Transferable Persona-Grounded Dialogues via Grounded Minimal Edits - [ArXiv] [QA].
• Benchmarking the Spectrum of Agent Capabilities - [ArXiv] [QA].
• Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation - [ArXiv] [QA].
• Space Time Recurrent Memory Network - [ArXiv] [QA].
• Space Time Recurrent Memory Network - [ArXiv] [QA].
• Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation - [ArXiv] [QA].
• CEM: Commonsense-aware Empathetic Response Generation - [ArXiv] [QA].
• Bootstrapped Meta-Learning - [ArXiv] [QA].
• Bootstrapped Meta-Learning - [ArXiv] [QA].
• A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation - [ArXiv] [QA].
• Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems - [ArXiv] [QA].
• Local Augmentation for Graph Neural Networks - [ArXiv] [QA].
• Local Augmentation for Graph Neural Networks - [ArXiv] [QA].
• Sqrt(d) Dimension Dependence of Langevin Monte Carlo - [ArXiv] [QA].
• Sqrt(d) Dimension Dependence of Langevin Monte Carlo - [ArXiv] [QA].
• Learning Neural Causal Models with Active Interventions - [ArXiv] [QA].
• Learning Neural Causal Models with Active Interventions - [ArXiv] [QA].
• Learning to Prompt for Vision-Language Models - [ArXiv] [QA].
• Learning to Prompt for Vision-Language Models - [ArXiv] [QA].
• The fractional chromatic number of double cones over graphs - [ArXiv] [QA].
• Regional Adversarial Training for Better Robust Generalization - [ArXiv] [QA].
• Boosting Search Engines with Interactive Agents - [ArXiv] [QA].
• Boosting Search Engines with Interactive Agents - [ArXiv] [QA].

August 2021

• Subjective Learning for Open-Ended Data - [ArXiv] [QA].
• Subjective Learning for Open-Ended Data - [ArXiv] [QA].
• Dynamic processes in superconductors and the laws of thermodynamics - [ArXiv] [QA].
• Anarchic Federated Learning - [ArXiv] [QA].
• Anarchic Federated Learning - [ArXiv] [QA].
• On the Opportunities and Risks of Foundation Models - [ArXiv] [QA].
• MMChat: Multi-Modal Chat Dataset on Social Media - [ArXiv] [QA].
• FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning - [ArXiv] [QA].
• Logit Attenuating Weight Normalization - [ArXiv] [QA].
• Logit Attenuating Weight Normalization - [ArXiv] [QA].
• BIGRoC: Boosting Image Generation via a Robust Classifier - [ArXiv] [QA].
• BIGRoC: Boosting Image Generation via a Robust Classifier - [ArXiv] [QA].
• Source-Free Domain Adaptation for Image Segmentation - [ArXiv] [QA].
• Internal Video Inpainting by Implicit Long-range Propagation - [ArXiv] [QA].
• Model-Based Opponent Modeling - [ArXiv] [QA].
• Model-Based Opponent Modeling - [ArXiv] [QA].
• Offline Decentralized Multi-Agent Reinforcement Learning - [ArXiv] [QA].
• Offline Decentralized Multi-Agent Reinforcement Learning - [ArXiv] [QA].
• How to Evaluate Your Dialogue Models: A Review of Approaches - [ArXiv] [QA].
• Evaluating Deep Graph Neural Networks - [ArXiv] [QA].
• Evaluating Deep Graph Neural Networks - [ArXiv] [QA].

July 2021

• Imbalanced Adversarial Training with Reweighting - [ArXiv] [QA].
• Imbalanced Adversarial Training with Reweighting - [ArXiv] [QA].
• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing - [ArXiv] [QA].
• Unsupervised Learning of Neurosymbolic Encoders - [ArXiv] [QA].
• Unsupervised Learning of Neurosymbolic Encoders - [ArXiv] [QA].
• Joint Shapley values: a measure of joint feature importance - [ArXiv] [QA].
• Joint Shapley values: a measure of joint feature importance - [ArXiv] [QA].
• Conditional GANs with Auxiliary Discriminative Classifier - [ArXiv] [QA].
• Guided Generation of Cause and Effect - [ArXiv] [QA].
• Structured Stochastic Gradient MCMC - [ArXiv] [QA].
• Structured Stochastic Gradient MCMC - [ArXiv] [QA].
• FastSHAP: Real-Time Shapley Value Estimation - [ArXiv] [QA].
• FastSHAP: Real-Time Shapley Value Estimation - [ArXiv] [QA].
• How Much Can CLIP Benefit Vision-and-Language Tasks? - [ArXiv] [QA].
• How Much Can CLIP Benefit Vision-and-Language Tasks? - [ArXiv] [QA].
• Explore and Control with Adversarial Surprise - [ArXiv] [QA].
• Explore and Control with Adversarial Surprise - [ArXiv] [QA].
• ViTGAN: Training GANs with Vision Transformers - [ArXiv] [QA].
• ViTGAN: Training GANs with Vision Transformers - [ArXiv] [QA].
• Towards Robust Active Feature Acquisition - [ArXiv] [QA].
• Towards Robust Active Feature Acquisition - [ArXiv] [QA].
• Evaluating Large Language Models Trained on Code - [ArXiv] [QA].
• Understanding Intrinsic Robustness Using Label Uncertainty - [ArXiv] [QA].
• Neural Contextual Bandits without Regret - [ArXiv] [QA].
• Neural Contextual Bandits without Regret - [ArXiv] [QA].
• Structured Denoising Diffusion Models in Discrete State-Spaces - [ArXiv] [QA].
• Depth-supervised NeRF: Fewer Views and Faster Training for Free - [ArXiv] [QA].
• Rethinking Positional Encoding - [ArXiv] [QA].
• Rethinking Positional Encoding - [ArXiv] [QA].
• When and How to Fool Explainable Models (and Humans) with Adversarial Examples - [ArXiv] [QA].
• Scale Mixtures of Neural Network Gaussian Processes - [ArXiv] [QA].
• Scale Mixtures of Neural Network Gaussian Processes - [ArXiv] [QA].
• On the Practicality of Deterministic Epistemic Uncertainty - [ArXiv] [QA].
• On the Practicality of Deterministic Epistemic Uncertainty - [ArXiv] [QA].
• Exact verification of the strong BSD conjecture for some absolutely simple abelian surfaces - [ArXiv] [QA].

June 2021

• Automatically Select Emotion for Response via Personality-affected Emotion Transition - [ArXiv] [QA].
• Local Reweighting for Adversarial Training - [ArXiv] [QA].
• Local Reweighting for Adversarial Training - [ArXiv] [QA].
• Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation - [ArXiv] [QA].
• Multimodal Few-Shot Learning with Frozen Language Models - [ArXiv] [QA].
• Animatable Neural Radiance Fields from Monocular RGB Videos - [ArXiv] [QA].
• DCoM: A Deep Column Mapper for Semantic Data Type Detection - [ArXiv] [QA].
• DCoM: A Deep Column Mapper for Semantic Data Type Detection - [ArXiv] [QA].
• IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers - [ArXiv] [QA].
• Learning Multimodal VAEs through Mutual Supervision - [ArXiv] [QA].
• Sampling with Mirrored Stein Operators - [ArXiv] [QA].
• Sampling with Mirrored Stein Operators - [ArXiv] [QA].
• Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation - [ArXiv] [QA].
• CharacterChat: Supporting the Creation of Fictional Characters through Conversation and Progressive Manifestation with a Chatbot - [ArXiv] [QA].
• Secure Domain Adaptation with Multiple Sources - [ArXiv] [QA].
• Secure Domain Adaptation with Multiple Sources - [ArXiv] [QA].
• Volume Rendering of Neural Implicit Surfaces - [ArXiv] [QA].
• Policy Smoothing for Provably Robust Reinforcement Learning - [ArXiv] [QA].
• Boundary Graph Neural Networks for 3D Simulations - [ArXiv] [QA].
• Boundary Graph Neural Networks for 3D Simulations - [ArXiv] [QA].
• Analytically Tractable Bayesian Deep Q-Learning - [ArXiv] [QA].
• Analytically Tractable Bayesian Deep Q-Learning - [ArXiv] [QA].
• NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction - [ArXiv] [QA].
• Shuffle Private Stochastic Convex Optimization - [ArXiv] [QA].
• Shuffle Private Stochastic Convex Optimization - [ArXiv] [QA].
• On Invariance Penalties for Risk Minimization - [ArXiv] [QA].
• On Invariance Penalties for Risk Minimization - [ArXiv] [QA].
• Visual Correspondence Hallucination - [ArXiv] [QA].
• Visual Correspondence Hallucination - [ArXiv] [QA].
• Poisoning and Backdooring Contrastive Learning - [ArXiv] [QA].
• Poisoning and Backdooring Contrastive Learning - [ArXiv] [QA].
• Revisiting the Weaknesses of Reinforcement Learning for Neural Machine Translation - [ArXiv] [QA].
• Unsupervised Enrichment of Persona-grounded Dialog with Background Stories - [ArXiv] [QA].
• Query Embedding on Hyper-relational Knowledge Graphs - [ArXiv] [QA].
• Query Embedding on Hyper-relational Knowledge Graphs - [ArXiv] [QA].
• Constraining Linear-chain CRFs to Regular Languages - [ArXiv] [QA].
• Constraining Linear-chain CRFs to Regular Languages - [ArXiv] [QA].
• Pre-Trained Models: Past, Present and Future - [ArXiv] [QA].
• Inverting Adversarially Robust Networks for Image Synthesis - [ArXiv] [QA].
• Prompting Contrastive Explanations for Commonsense Reasoning Tasks - [ArXiv] [QA].
• Learning to Pool in Graph Neural Networks for Extrapolation - [ArXiv] [QA].
• Is Homophily a Necessity for Graph Neural Networks? - [ArXiv] [QA].
• Is Homophily a Necessity for Graph Neural Networks? - [ArXiv] [QA].
• Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation - [ArXiv] [QA].
• Fair Normalizing Flows - [ArXiv] [QA].
• Fair Normalizing Flows - [ArXiv] [QA].
• A Neural Tangent Kernel Perspective of GANs - [ArXiv] [QA].
• A Neural Tangent Kernel Perspective of GANs - [ArXiv] [QA].
• Do Transformers Really Perform Bad for Graph Representation? - [ArXiv] [QA].
• DIGRAC: Digraph Clustering Based on Flow Imbalance - [ArXiv] [QA].
• DIGRAC: Digraph Clustering Based on Flow Imbalance - [ArXiv] [QA].
• It Takes Two to Tango: Mixup for Deep Metric Learning - [ArXiv] [QA].
• Mean-Shifted Contrastive Loss for Anomaly Detection - [ArXiv] [QA].
• Mean-Shifted Contrastive Loss for Anomaly Detection - [ArXiv] [QA].
• RegMix: Data Mixing Augmentation for Regression - [ArXiv] [QA].
• RegMix: Data Mixing Augmentation for Regression - [ArXiv] [QA].
• Model Zoo: A Growing "Brain" That Learns Continually - [ArXiv] [QA].
• Model Zoo: A Growing "Brain" That Learns Continually - [ArXiv] [QA].
• Context-Aware Sparse Deep Coordination Graphs - [ArXiv] [QA].
• Context-Aware Sparse Deep Coordination Graphs - [ArXiv] [QA].
• Learning Curves for SGD on Structured Features - [ArXiv] [QA].
• Learning Curves for SGD on Structured Features - [ArXiv] [QA].
• Meta-Learning with Fewer Tasks through Task Interpolation - [ArXiv] [QA].
• Meta-Learning with Fewer Tasks through Task Interpolation - [ArXiv] [QA].
• Churn Reduction via Distillation - [ArXiv] [QA].
• Churn Reduction via Distillation - [ArXiv] [QA].
• Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances - [ArXiv] [QA].
• Convergent Graph Solvers - [ArXiv] [QA].
• Steerable 3D Spherical Neurons - [ArXiv] [QA].
• Steerable 3D Spherical Neurons - [ArXiv] [QA].
• Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize - [ArXiv] [QA].
• Evidential Turing Processes - [ArXiv] [QA].
• Evidential Turing Processes - [ArXiv] [QA].
• Towards Emotional Support Dialog Systems - [ArXiv] [QA].
• Transition-Based Constrained DFT for the Robust and Reliable Treatment of Excitations in Supramolecular Systems - [ArXiv] [QA].
• Multiresolution Equivariant Graph Variational Autoencoder - [ArXiv] [QA].
• Multiresolution Equivariant Graph Variational Autoencoder - [ArXiv] [QA].
• RevCore: Review-augmented Conversational Recommendation - [ArXiv] [QA].
• DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues - [ArXiv] [QA].
• DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation - [ArXiv] [QA].
• Towards Quantifiable Dialogue Coherence Evaluation - [ArXiv] [QA].
• Concurrent Adversarial Learning for Large-Batch Training - [ArXiv] [QA].
• Concurrent Adversarial Learning for Large-Batch Training - [ArXiv] [QA].
• Rethinking Pseudo Labels for Semi-Supervised Object Detection - [ArXiv] [QA].

May 2021

• Efficient and Modular Implicit Differentiation - [ArXiv] [QA].
• Efficient and Modular Implicit Differentiation - [ArXiv] [QA].
• How Attentive are Graph Attention Networks? - [ArXiv] [QA].
• How Attentive are Graph Attention Networks? - [ArXiv] [QA].
• An Attention Free Transformer - [ArXiv] [QA].
• An Attention Free Transformer - [ArXiv] [QA].
• Gotta Go Fast When Generating Data with Score-Based Models - [ArXiv] [QA].
• OTTers: One-turn Topic Transitions for Open-Domain Dialogue - [ArXiv] [QA].
• Data Augmentation for Text Generation Without Any Augmented Data - [ArXiv] [QA].
• Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning - [ArXiv] [QA].
• KECRS: Towards Knowledge-Enriched Conversational Recommendation System - [ArXiv] [QA].
• RetGen: A Joint framework for Retrieval and Grounded Text Generation Modeling - [ArXiv] [QA].
• HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management - [ArXiv] [QA].
• The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting - [ArXiv] [QA].
• EL-Attention: Memory Efficient Lossless Attention for Generation - [ArXiv] [QA].
• Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey - [ArXiv] [QA].
• Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems - [ArXiv] [QA].
• A Survey of Data Augmentation Approaches for NLP - [ArXiv] [QA].
• PD-GAN: Probabilistic Diverse GAN for Image Inpainting - [ArXiv] [QA].
• Unsteady and inertial dynamics of an active particle in a fluid - [ArXiv] [QA].

April 2021

• If your data distribution shifts, use self-learning - [ArXiv] [QA].
• If your data distribution shifts, use self-learning - [ArXiv] [QA].
• PanGu-$α$: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation - [ArXiv] [QA].
• UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction - [ArXiv] [QA].
• Gradient Matching for Domain Generalization - [ArXiv] [QA].
• Gradient Matching for Domain Generalization - [ArXiv] [QA].
• Image Inpainting with External-internal Learning and Monochromic Bottleneck - [ArXiv] [QA].
• Explaining Answers with Entailment Trees - [ArXiv] [QA].
• $Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering - [ArXiv] [QA].
• Sparse Attention with Linear Units - [ArXiv] [QA].
• Sparse Attention with Linear Units - [ArXiv] [QA].
• Progressive Temporal Feature Alignment Network for Video Inpainting - [ArXiv] [QA].
• Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval - [ArXiv] [QA].
• NeRF-VAE: A Geometry Aware 3D Scene Generative Model - [ArXiv] [QA].
• Improved Image Generation via Sparse Modeling - [ArXiv] [QA].
• Improved Image Generation via Sparse Modeling - [ArXiv] [QA].
• Domain Invariant Adversarial Learning - [ArXiv] [QA].
• Domain Invariant Adversarial Learning - [ArXiv] [QA].

March 2021

• CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields - [ArXiv] [QA].
• Contrastive Embedding for Generalized Zero-Shot Learning - [ArXiv] [QA].
• TransFill: Reference-guided Image Inpainting by Merging Multiple Color and Spatial Transformations - [ArXiv] [QA].
• Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers - [ArXiv] [QA].
• GNeRF: GAN-based Neural Radiance Field without Posed Camera - [ArXiv] [QA].
• Efficient Explanations from Empirical Explainers - [ArXiv] [QA].
• KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs - [ArXiv] [QA].
• DNN Quantization with Attention - [ArXiv] [QA].
• DNN Quantization with Attention - [ArXiv] [QA].
• Concentric Spherical GNN for 3D Representation Learning - [ArXiv] [QA].
• Concentric Spherical GNN for 3D Representation Learning - [ArXiv] [QA].
• FastNeRF: High-Fidelity Neural Rendering at 200FPS - [ArXiv] [QA].
• GLM: General Language Model Pretraining with Autoregressive Blank Infilling - [ArXiv] [QA].
• Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE - [ArXiv] [QA].
• ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer - [ArXiv] [QA].
• Online Adversarial Attacks - [ArXiv] [QA].
• Online Adversarial Attacks - [ArXiv] [QA].
• Mixture of Volumetric Primitives for Efficient Neural Rendering - [ArXiv] [QA].

February 2021

• Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing - [ArXiv] [QA].
• Deep ReLU Networks Preserve Expected Length - [ArXiv] [QA].
• Deep ReLU Networks Preserve Expected Length - [ArXiv] [QA].
• Meta-Learning Dynamics Forecasting Using Task Inference - [ArXiv] [QA].
• Meta-Learning Dynamics Forecasting Using Task Inference - [ArXiv] [QA].
• ShaRF: Shape-conditioned Radiance Fields from a Single View - [ArXiv] [QA].
• DEUP: Direct Epistemic Uncertainty Prediction - [ArXiv] [QA].
• DEUP: Direct Epistemic Uncertainty Prediction - [ArXiv] [QA].
• Topological Graph Neural Networks - [ArXiv] [QA].
• Topological Graph Neural Networks - [ArXiv] [QA].
• Contrastive Embeddings for Neural Architectures - [ArXiv] [QA].
• Contrastive Embeddings for Neural Architectures - [ArXiv] [QA].
• Hyperspherical embedding for novel class classification - [ArXiv] [QA].
• Hyperspherical embedding for novel class classification - [ArXiv] [QA].
• Learning Graph Embeddings for Compositional Zero-shot Learning - [ArXiv] [QA].

January 2021

• RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations - [ArXiv] [QA].
• Advances and Challenges in Conversational Recommender Systems: A Survey - [ArXiv] [QA].
• Evaluating Disentanglement of Structured Representations - [ArXiv] [QA].
• Evaluating Disentanglement of Structured Representations - [ArXiv] [QA].
• Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity - [ArXiv] [QA].
• Max-Affine Spline Insights Into Deep Network Pruning - [ArXiv] [QA].
• Max-Affine Spline Insights Into Deep Network Pruning - [ArXiv] [QA].

2020

December 2020

• Directed Beam Search: Plug-and-Play Lexically Constrained Language Generation - [ArXiv] [QA].
• Refine and Imitate: Reducing Repetition and Inconsistency in Persuasion Dialogues via Reinforcement Learning and Human Demonstration - [ArXiv] [QA].
• ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language - [ArXiv] [QA].
• A Distributional Approach to Controlled Text Generation - [ArXiv] [QA].
• Transformer Interpretability Beyond Attention Visualization - [ArXiv] [QA].
• Neural Volume Rendering: NeRF And Beyond - [ArXiv] [QA].
• Keyword-Guided Neural Conversational Model - [ArXiv] [QA].
• CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts - [ArXiv] [QA].
• Image Inpainting Guided by Coherence Priors of Semantics and Textures - [ArXiv] [QA].
• Contrastive Learning with Adversarial Perturbations for Conditional Text Generation - [ArXiv] [QA].
• Active Learning: Problem Settings and Recent Developments - [ArXiv] [QA].
• Challenging common interpretability assumptions in feature attribution explanations - [ArXiv] [QA].
• Practical No-box Adversarial Attacks against DNNs - [ArXiv] [QA].
• Practical No-box Adversarial Attacks against DNNs - [ArXiv] [QA].
• pixelNeRF: Neural Radiance Fields from One or Few Images - [ArXiv] [QA].
• Learned Initializations for Optimizing Coordinate-Based Neural Representations - [ArXiv] [QA].
• Neural Prototype Trees for Interpretable Fine-grained Image Recognition - [ArXiv] [QA].
• CPM: A Large-scale Generative Chinese Pre-trained Language Model - [ArXiv] [QA].

November 2020

• DeRF: Decomposed Radiance Fields - [ArXiv] [QA].
• GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields - [ArXiv] [QA].
• Contextual Fusion For Adversarial Robustness - [ArXiv] [QA].
• Contextual Fusion For Adversarial Robustness - [ArXiv] [QA].

October 2020

• Learning to Actively Learn: A Robust Approach - [ArXiv] [QA].
• Learning to Actively Learn: A Robust Approach - [ArXiv] [QA].
• How Does the Task Landscape Affect MAML Performance? - [ArXiv] [QA].
• How Does the Task Landscape Affect MAML Performance? - [ArXiv] [QA].
• Interpretation of NLP models through input marginalization - [ArXiv] [QA].
• Towards falsifiable interpretability research - [ArXiv] [QA].
• CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation - [ArXiv] [QA].
• Improving Dialog Systems for Negotiation with Personality Modeling - [ArXiv] [QA].
• NeRF++: Analyzing and Improving Neural Radiance Fields - [ArXiv] [QA].
• Fairness-aware Agnostic Federated Learning - [ArXiv] [QA].
• Fairness-aware Agnostic Federated Learning - [ArXiv] [QA].
• GRF: Learning a General Radiance Field for 3D Representation and Rendering - [ArXiv] [QA].
• Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions - [ArXiv] [QA].
• MIME: MIMicking Emotions for Empathetic Response Generation - [ArXiv] [QA].

September 2020

• Learning to Plan and Realize Separately for Open-Ended Dialogue Systems - [ArXiv] [QA].
• From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic Segmentation - [ArXiv] [QA].
• Understanding the Role of Individual Units in a Deep Neural Network - [ArXiv] [QA].
• Sample-Efficient Automated Deep Reinforcement Learning - [ArXiv] [QA].
• Sample-Efficient Automated Deep Reinforcement Learning - [ArXiv] [QA].
• Learning to summarize from human feedback - [ArXiv] [QA].

August 2020

• A Survey of Deep Active Learning - [ArXiv] [QA].
• A Survey of Evaluation Metrics Used for NLG Systems - [ArXiv] [QA].
• A Survey of Active Learning for Text Classification using Deep Neural Networks - [ArXiv] [QA].
• Context-aware Feature Generation for Zero-shot Semantic Segmentation - [ArXiv] [QA].
• Adaptive Learning of Tensor Network Structures - [ArXiv] [QA].
• Adaptive Learning of Tensor Network Structures - [ArXiv] [QA].
• A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning - [ArXiv] [QA].
• Explainable Face Recognition - [ArXiv] [QA].

July 2020

• Learning Joint Spatial-Temporal Transformations for Video Inpainting - [ArXiv] [QA].
• Mixture Representation Learning with Coupled Autoencoders - [ArXiv] [QA].
• Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning - [ArXiv] [QA].
• Towards Deeper Graph Neural Networks - [ArXiv] [QA].
• Towards Deeper Graph Neural Networks - [ArXiv] [QA].
• DVI: Depth Guided Video Inpainting for Autonomous Driving - [ArXiv] [QA].
• Few-shot Scene-adaptive Anomaly Detection - [ArXiv] [QA].
• Few-shot Scene-adaptive Anomaly Detection - [ArXiv] [QA].
• Rethinking Image Inpainting via a Mutual Encoder-Decoder with Feature Equalizations - [ArXiv] [QA].
• GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis - [ArXiv] [QA].
• The Fyodorov-Hiary-Keating Conjecture. I - [ArXiv] [QA].
• Interactive Path Reasoning on Graph for Conversational Recommendation - [ArXiv] [QA].

June 2020

• PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning - [ArXiv] [QA].
• Generative causal explanations of black-box classifiers - [ArXiv] [QA].
• Unsupervised Evaluation of Interactive Dialog with DialoGPT - [ArXiv] [QA].
• Towards Understanding Label Smoothing - [ArXiv] [QA].
• Towards Understanding Label Smoothing - [ArXiv] [QA].
• Neural Parameter Allocation Search - [ArXiv] [QA].
• Neural Parameter Allocation Search - [ArXiv] [QA].
• Augmented Sliced Wasserstein Distances - [ArXiv] [QA].
• Augmented Sliced Wasserstein Distances - [ArXiv] [QA].
• DeeperGCN: All You Need to Train Deeper GCNs - [ArXiv] [QA].
• DeeperGCN: All You Need to Train Deeper GCNs - [ArXiv] [QA].
• CoCon: A Self-Supervised Approach for Controlled Text Generation - [ArXiv] [QA].
• Situated and Interactive Multimodal Conversations - [ArXiv] [QA].

May 2020

• Language Models are Few-Shot Learners - [ArXiv] [QA].
• High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling - [ArXiv] [QA].
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks - [ArXiv] [QA].
• Novel Policy Seeking with Constrained Optimization - [ArXiv] [QA].
• Novel Policy Seeking with Constrained Optimization - [ArXiv] [QA].
• Mirror Descent Policy Optimization - [ArXiv] [QA].
• Mirror Descent Policy Optimization - [ArXiv] [QA].
• Normalized Attention Without Probability Cage - [ArXiv] [QA].
• Normalized Attention Without Probability Cage - [ArXiv] [QA].
• Semantic Photo Manipulation with a Generative Image Prior - [ArXiv] [QA].
• Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation - [ArXiv] [QA].
• Learning an Unreferenced Metric for Online Dialogue Evaluation - [ArXiv] [QA].
• POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training - [ArXiv] [QA].

April 2020

• Consistent Video Depth Estimation - [ArXiv] [QA].
• Recipes for building an open-domain chatbot - [ArXiv] [QA].
• Multi-Domain Dialogue Acts and Response Co-Generation - [ArXiv] [QA].
• Federated Stochastic Gradient Langevin Dynamics - [ArXiv] [QA].
• Federated Stochastic Gradient Langevin Dynamics - [ArXiv] [QA].
• Considering Likelihood in NLP Classification Explanations with Occlusion and Language Modeling - [ArXiv] [QA].
• Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness - [ArXiv] [QA].
• TextGAIL: Generative Adversarial Imitation Learning for Text Generation - [ArXiv] [QA].
• There and Back Again: Revisiting Backpropagation Saliency Methods - [ArXiv] [QA].
• A Survey on Conversational Recommender Systems - [ArXiv] [QA].

March 2020

• Distributional Reinforcement Learning with Ensembles - [ArXiv] [QA].
• Distributional Reinforcement Learning with Ensembles - [ArXiv] [QA].
• Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification - [ArXiv] [QA].
• XPersona: Evaluating Multilingual Personalized Chatbot - [ArXiv] [QA].
• Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes - [ArXiv] [QA].
• VCNet: A Robust Approach to Blind Image Inpainting - [ArXiv] [QA].
• Building and Interpreting Deep Similarity Models - [ArXiv] [QA].
• xCos: An Explainable Cosine Metric for Face Verification Task - [ArXiv] [QA].
• Benchmarking Graph Neural Networks - [ArXiv] [QA].
• Benchmarking Graph Neural Networks - [ArXiv] [QA].

February 2020

• Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems - [ArXiv] [QA].
• Gradient Boosting Neural Networks: GrowNet - [ArXiv] [QA].
• Gradient Boosting Neural Networks: GrowNet - [ArXiv] [QA].
• Information Condensing Active Learning - [ArXiv] [QA].
• Information Condensing Active Learning - [ArXiv] [QA].
• Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation - [ArXiv] [QA].

January 2020

• Scaling Laws for Neural Language Models - [ArXiv] [QA].
• ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training - [ArXiv] [QA].

2019

December 2019

• Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering - [ArXiv] [QA].
• Image Processing Using Multi-Code GAN Prior - [ArXiv] [QA].

November 2019

• Binarized Neural Architecture Search - [ArXiv] [QA].
• Binarized Neural Architecture Search - [ArXiv] [QA].
• Region Normalization for Image Inpainting - [ArXiv] [QA].
• Automatic Text-based Personality Recognition on Monologues and Multiparty Dialogues Using Attentive Networks and Contextual Embeddings - [ArXiv] [QA].
• Generating Persona Consistent Dialogues by Exploiting Natural Language Inference - [ArXiv] [QA].
• A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data - [ArXiv] [QA].

October 2019

• Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer - [ArXiv] [QA].
• Understanding Deep Networks via Extremal Perturbations and Smooth Masks - [ArXiv] [QA].
• ALOHA: Artificial Learning of Human Attributes for Dialogue Agents - [ArXiv] [QA].
• A cost-effective method for improving and re-purposing large, pre-trained GANs by fine-tuning their class-embeddings - [ArXiv] [QA].
• Explaining image classifiers by removing input features using generative models - [ArXiv] [QA].
• Continual Learning in Neural Networks - [ArXiv] [QA].
• Continual Learning in Neural Networks - [ArXiv] [QA].
• ZeRO: Memory Optimizations Toward Training Trillion Parameter Models - [ArXiv] [QA].

September 2019

• Visual Explanation for Deep Metric Learning - [ArXiv] [QA].
• Improving Generative Visual Dialog by Answering Diverse Questions - [ArXiv] [QA].
• Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism - [ArXiv] [QA].
• An Internal Learning Approach to Video Inpainting - [ArXiv] [QA].
• Towards Scalable Multi-domain Conversational Agents: The Schema-Guided Dialogue Dataset - [ArXiv] [QA].
• CTRL: A Conditional Transformer Language Model for Controllable Generation - [ArXiv] [QA].
• ACUTE-EVAL: Improved Dialogue Evaluation with Optimized Questions and Multi-turn Comparisons - [ArXiv] [QA].
• Image Inpainting with Learnable Bidirectional Attention Maps - [ArXiv] [QA].
• Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue - [ArXiv] [QA].

August 2019

• Copy-and-Paste Networks for Deep Video Inpainting - [ArXiv] [QA].
• Onion-Peel Networks for Deep Video Completion - [ArXiv] [QA].
• Efficient Deep Neural Networks - [ArXiv] [QA].
• Efficient Deep Neural Networks - [ArXiv] [QA].
• StructureFlow: Image Inpainting via Structure-aware Appearance Flow - [ArXiv] [QA].
• Generative Image Inpainting with Submanifold Alignment - [ArXiv] [QA].

July 2019

• Benchmarking Attribution Methods with Relative Feature Importance - [ArXiv] [QA].
• Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning - [ArXiv] [QA].
• Generative Counterfactual Introspection for Explainable Deep Learning - [ArXiv] [QA].
• Learnable Gated Temporal Shift Module for Deep Video Inpainting - [ArXiv] [QA].

June 2019

• Improving performance of deep learning models with axiomatic attribution priors and expected gradients - [ArXiv] [QA].
• Factorized Mutual Information Maximization - [ArXiv] [QA].
• XRAI: Better Attributions Through Regions - [ArXiv] [QA].
• Image Synthesis with a Single (Robust) Classifier - [ArXiv] [QA].
• Zero-Shot Semantic Segmentation - [ArXiv] [QA].
• Rethinking Loss Design for Large-scale 3D Shape Retrieval - [ArXiv] [QA].

May 2019

• Align-and-Attend Network for Globally and Locally Coherent Video Inpainting - [ArXiv] [QA].
• Why do These Match? Explaining the Behavior of Image Similarity Models - [ArXiv] [QA].
• PEPSI++: Fast and Lightweight Network for Image Inpainting - [ArXiv] [QA].
• Deep Flow-Guided Video Inpainting - [ArXiv] [QA].
• Frame-Recurrent Video Inpainting by Robust Optical Flow Inference - [ArXiv] [QA].
• Deep Video Inpainting - [ArXiv] [QA].

April 2019

• Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN - [ArXiv] [QA].
• Deep Fusion Network for Image Completion - [ArXiv] [QA].
• Semantically Aligned Bias Reducing Zero Shot Learning - [ArXiv] [QA].
• Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting - [ArXiv] [QA].
• VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal - [ArXiv] [QA].
• On zero-shot recognition of generic objects - [ArXiv] [QA].
• Leveraging the Invariant Side of Generative Zero-Shot Learning - [ArXiv] [QA].
• Creativity Inspired Zero-Shot Learning - [ArXiv] [QA].

March 2019

• Pluralistic Image Completion - [ArXiv] [QA].
• Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image - [ArXiv] [QA].
• CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog - [ArXiv] [QA].
• Stabilizing the Lottery Ticket Hypothesis - [ArXiv] [QA].
• Stabilizing the Lottery Ticket Hypothesis - [ArXiv] [QA].
• Semantic-Guided Multi-Attention Localization for Zero-Shot Learning - [ArXiv] [QA].

February 2019

• SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color - [ArXiv] [QA].
• LS-Tree: Model Interpretation When the Data Are Linguistic - [ArXiv] [QA].
• Towards Automatic Concept-based Explanations - [ArXiv] [QA].
• Collaborative Sampling in Generative Adversarial Networks - [ArXiv] [QA].

January 2019

• Personalized Dialogue Generation with Diversified Traits - [ArXiv] [QA].
• Diffusion Variational Autoencoders - [ArXiv] [QA].
• Diffusion Variational Autoencoders - [ArXiv] [QA].
• Improving Sequence-to-Sequence Learning via Optimal Transport - [ArXiv] [QA].
• Foreground-aware Image Inpainting - [ArXiv] [QA].
• Automated Rationale Generation: A Technique for Explainable AI and its Effects on Human Perceptions - [ArXiv] [QA].
• Detecting Overfitting of Deep Generative Networks via Latent Recovery - [ArXiv] [QA].
• Visualizing Deep Similarity Networks - [ArXiv] [QA].
• EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning - [ArXiv] [QA].
• A Theoretical Analysis of Deep Q-Learning - [ArXiv] [QA].
• A Theoretical Analysis of Deep Q-Learning - [ArXiv] [QA].

2018

December 2018

• Adaptive Confidence Smoothing for Generalized Zero-Shot Learning - [ArXiv] [QA].
• Face Completion with Semantic Knowledge and Collaborative Adversarial Learning - [ArXiv] [QA].
• Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders - [ArXiv] [QA].
• Deep Inception Generative Network for Cognitive Image Inpainting - [ArXiv] [QA].

November 2018

• Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects - [ArXiv] [QA].
• Coordinate-based Texture Inpainting for Pose-Guided Image Generation - [ArXiv] [QA].
• GAN Dissection: Visualizing and Understanding Generative Adversarial Networks - [ArXiv] [QA].
• Generalized Zero-Shot Recognition based on Visually Semantic Embedding - [ArXiv] [QA].
• Scalable agent alignment via reward modeling: a research direction - [ArXiv] [QA].
• On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs - [ArXiv] [QA].
• Reward learning from human preferences and demonstrations in Atari - [ArXiv] [QA].
• CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling - [ArXiv] [QA].
• Generative Dual Adversarial Network for Generalized Zero-shot Learning - [ArXiv] [QA].
• Blockwise Parallel Decoding for Deep Autoregressive Models - [ArXiv] [QA].
• Image Chat: Engaging Grounded Conversations - [ArXiv] [QA].

October 2018

• Image Inpainting via Generative Multi-column Convolutional Neural Networks - [ArXiv] [QA].

August 2018

• AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale - [ArXiv] [QA].
• Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning - [ArXiv] [QA].

July 2018

• Talk the Walk: Navigating New York City through Grounded Dialogue - [ArXiv] [QA].

June 2018

• A Benchmark for Interpretability Methods in Deep Neural Networks - [ArXiv] [QA].
• This Looks Like That: Deep Learning for Interpretable Image Recognition - [ArXiv] [QA].
• Video Inpainting by Jointly Learning Temporal Structure and Spatial Details - [ArXiv] [QA].
• Free-Form Image Inpainting with Gated Convolution - [ArXiv] [QA].
• A Peek Into the Hidden Layers of a Convolutional Neural Network Through a Factorization Lens - [ArXiv] [QA].

May 2018

• Rethinking Knowledge Graph Propagation for Zero-Shot Learning - [ArXiv] [QA].
• Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators - [ArXiv] [QA].
• Progressive Ensemble Networks for Zero-Shot Recognition - [ArXiv] [QA].
• Unsupervised Learning of Neural Networks to Explain Neural Networks - [ArXiv] [QA].
• A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations - [ArXiv] [QA].
• SPG-Net: Segmentation Prediction and Guidance Network for Image Inpainting - [ArXiv] [QA].

April 2018

• How convolutional neural network see the world - A survey of convolutional neural network visualization methods - [ArXiv] [QA].
• FaceShop: Deep Sketch-based Face Image Editing - [ArXiv] [QA].
• Subgoal Discovery for Hierarchical Dialogue Policy Learning - [ArXiv] [QA].
• Image Inpainting for Irregular Holes Using Partial Convolutions - [ArXiv] [QA].

March 2018

• Structural inpainting - [ArXiv] [QA].
• Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs - [ArXiv] [QA].
• Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge - [ArXiv] [QA].
• Preserving Semantic Relations for Zero-Shot Learning - [ArXiv] [QA].

February 2018

• Machine Theory of Mind - [ArXiv] [QA].
• Multimodal Explanations: Justifying Decisions and Pointing to the Evidence - [ArXiv] [QA].
• Singularities in Einstein-conformally coupled Higgs cosmological models - [ArXiv] [QA].
• Interpreting CNNs via Decision Trees - [ArXiv] [QA].

January 2018

• Shift-Net: Image Inpainting via Deep Feature Rearrangement - [ArXiv] [QA].
• Generative Image Inpainting with Contextual Attention - [ArXiv] [QA].
• Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks - [ArXiv] [QA].

2017

December 2017

• Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation - [ArXiv] [QA].

November 2017

• Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) - [ArXiv] [QA].
• Deep Image Prior - [ArXiv] [QA].
• Distilling a Neural Network Into a Soft Decision Tree - [ArXiv] [QA].
• Contextual-based Image Inpainting: Infer, Match, and Translate - [ArXiv] [QA].

October 2017

• Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks - [ArXiv] [QA].
• Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation - [ArXiv] [QA].
• Recent Advances in Zero-shot Recognition - [ArXiv] [QA].

September 2017

• Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces - [ArXiv] [QA].
• AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline - [ArXiv] [QA].

August 2017

• Twin Networks: Matching the Future for Sequence Generation - [ArXiv] [QA].

July 2017

• Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly - [ArXiv] [QA].

June 2017

• SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability - [ArXiv] [QA].
• SmoothGrad: removing noise by adding noise - [ArXiv] [QA].
• Attention Is All You Need - [ArXiv] [QA].
• Deep reinforcement learning from human preferences - [ArXiv] [QA].

May 2017

• Learning how to explain neural networks: PatternNet and PatternAttribution - [ArXiv] [QA].

April 2017

• Towards Building Large Scale Multimodal Domain-Aware Conversation Systems - [ArXiv] [QA].

January 2017

• Interactive Learning from Policy-Dependent Human Feedback - [ArXiv] [QA].

2016

November 2016

• High-Resolution Image Inpainting using Multi-Scale Neural Patch Synthesis - [ArXiv] [QA].
• Gaze Embeddings for Zero-Shot Image Classification - [ArXiv] [QA].
• Visual Dialog - [ArXiv] [QA].
• Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation - [ArXiv] [QA].
• Learning a Deep Embedding Model for Zero-Shot Learning - [ArXiv] [QA].

October 2016

• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization - [ArXiv] [QA].

July 2016

• Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification - [ArXiv] [QA].

June 2016

• The Mythos of Model Interpretability - [ArXiv] [QA].

May 2016

• An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild - [ArXiv] [QA].

April 2016

• Context Encoders: Feature Learning by Inpainting - [ArXiv] [QA].

2015

December 2015

• Explaining NonLinear Classification Decisions with Deep Taylor Decomposition - [ArXiv] [QA].

June 2015

• Inverting Visual Representations with Convolutional Networks - [ArXiv] [QA].
• Visualizing and Understanding Recurrent Networks - [ArXiv] [QA].

March 2015

• Label-Embedding for Image Classification - [ArXiv] [QA].

January 2015

• Transductive Multi-view Zero-Shot Learning - [ArXiv] [QA].

2014

December 2014

• Object Detectors Emerge in Deep Scene CNNs - [ArXiv] [QA].

November 2014

• Understanding Deep Image Representations by Inverting Them - [ArXiv] [QA].

May 2014

• Microsoft COCO: Common Objects in Context - [ArXiv] [QA].

2009

September 2009

• Chaos in Partial Differential Equations - [ArXiv] [QA].

August 2009

• Sparse Canonical Correlation Analysis - [ArXiv] [QA].