STAR: Sparse Trained Articulated Human Body Regressor, Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer, Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning, TSIT: A Simple and Versatile Framework for Image-to-Image Translation, Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians, Learning 3D Part Assembly from a Single Image, PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions, ProxyBNN: Learning Binarized Neural Networks via Proxy Matrices, Highly Efficient Salient Object Detection with 100K Parameters, HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing, Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation, Simulating Content Consistent Vehicle Datasets with Attribute Descent, Multiview Detection with Feature Perspective Transformation, Learning Object Relation Graph and Tentative Policy for Visual Navigation, Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition, Across Scales \& Across Dimensions: Temporal Super-Resolution using Deep Internal Learning, Inducing Optimal Attribute Representations for Conditional GANs, HMOR: Hierarchical Multi-Person Ordinal Relations for Monocular Multi-Person 3D Pose Estimation, AR-Net: Adaptive Frame Resolution for Efficient Action Recognition, Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation, Autoregressive Unsupervised Image Segmentation, Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search, Efficient Non-Line-of-Sight Imaging from Transient Sinograms, Texture Hallucination for Large-Factor Painting Super-Resolution, Learning Progressive Joint Propagation for Human Motion Prediction, Image Stitching and Rectification for Hand-Held Cameras, A Parametric Surface Fitting Network for 3D Point Clouds, Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve, Learning Object Depth from Camera Motion and Video Object Segmentation, OnlineAugment: Online Data Augmentation with Less Domain Knowledge, Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction, A Unified Framework of Surrogate Loss by Refactoring and Interpolation, Intra-class Feature Variation Distillation for Semantic Segmentation, Temporal Distinct Representation Learning for Action Recognition, Deformation-Aware 3D Model Embedding and Retrieval, Quaternion Equivariant Capsule Networks for 3D Point Clouds, Atlas: End-to-End 3D Scene Reconstruction from Posed Images, Multiple Class Novelty Detection Under Data Distribution Shift, Colorization of Depth Map via Disentanglement, DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares, Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes, GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end, Localizing the Common Action Among a Few Videos, TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification, Traffic Accident Benchmark for Causality Recognition, Face Anti-Spoofing with Human Material Perception, How Can I See My Future? Zhenhai Zhu and Radu Soricut, The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes Xuepeng Wang, Li Zhao, Bing Liu, Tao Chen, Feng Zhang and Di Wang, Joint Verification and Reranking for Open Fact Checking Over Tables Efficient Black-box Explanations with Sobol-based Sensitivity Analysis, PatchGame: Learning to Signal Mid-level Patches in Referential Games, Tensor Normal Training for Deep Learning Models, Unintended Selection: Persistent Qualification Rate Disparities and Interventions, Revisiting 3D Object Detection From an Egocentric Perspective, Optimizing Information-theoretical Generalization Bound via Anisotropic Noise of SGLD, Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning, A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning, Mori Attack (MA): A New Potential Risk of Screen Photos, Fast Bayesian Inference for Gaussian Cox Processes via Path Integral Formulation, Lattice partition recovery with dyadic CART, Robust Deep Reinforcement Learning through Adversarial Loss, Provable Model-based Nonlinear Bandit and Reinforcement Learning: Shelve Optimism, Embrace Virtual Curvature, You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection, Learning to delegate for large-scale vehicle routing, Effective Meta-Regularization by Kernelized Proximal Regularization, Towards Context-Agnostic Learning Using Synthetic Data, Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers, Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering, Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation, Certifying Robustness to Programmable Data Bias in Decision Trees, TRF: Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis, Sequence-to-Sequence Learning with Latent Neural Grammars, Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality, Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems. Andrew Shin and Takuya Narihira, Progressive Multi-Granularity Training for Non-Autoregressive Translation Arbitrary-Oriented Object Detection with Circular Smooth Label, Learning Event-Driven Video Deblurring and Interpolation, Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry, House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation, Vectorizing World Buildings: Planar Graph Reconstruction by Primitive Detection and Relationship Inference, Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation, CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation, Prototype Mixture Models for Few-shot Semantic Segmentation, Webly Supervised Image Classification with Self-Contained Confidence, Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization, Monocular 3D Object Detection via Feature Domain Adaptation, Talking-head Generation with Rhythmic Head Motion, AUTO3D: Novel view synthesis through unsupervisely learned variational viewpoint and global 3D representation, VPN: Learning Video-Pose Embedding for Activities of Daily Living, Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid, VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment, Soft Expert Reward Learning for Vision-and-Language Navigation, Part-aware Prototype Network for Few-shot Semantic Segmentation, Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization, Joint Learning of Social Groups, Individuals Action and Sub-group Activities in Videos, Whole-Body Human Pose Estimation in the Wild, Relative Pose Estimation of Calibrated Cameras with Known $\mathrm{SE(3)$ Invariants. Yongliang Shen, Xinyin Ma, Zeqi Tan, Shuai Zhang, Wen Wang and Weiming Lu, A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech Meta-Learning Deep Visual Words for Fast Video Object Segmentation: 2487: Reactive Semantic Planning in Unexplored Semantic Environments Using Deep Perceptual Feedback: 2490: Semantic Localization Considering Uncertainty of Object Recognition: 2491: Perspective-2-Ellipsoid: Bridging the Gap between Object Detections and 6-DoF Camera A tag already exists with the provided branch name. Pei Chen, Haibo Ding, Jun Araki and Ruihong Huang, Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents Rui Liu, Zheng Lin, Yutong Tan and Weiping Wang, Manifold Adversarial Augmentation for Neural Machine Translation Understanding properties that generalize, Embedding Propagation: Smoother Manifold for Few-Shot Classification, Category Level Object Pose Estimation via Neural Analysis-by-Synthesis, High-Fidelity Synthesis with Disentangled Representation, PL$_1$P - Point-line Minimal Problems under Partial Visibility in Three Views, Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification, Learning Canonical Representations for Scene Graph to Image Generation, Adversarial Robustness on In- and Out-Distribution Improves Explainability, Neural Wireframe Renderer: Learning Wireframe to Image Translations, RBF-Softmax: Learning Deep Representative Prototypes with Radial Basis Function Softmax, A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions, Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction, Determining the Relevance of Features for Deep Neural Networks, Weakly Supervised Semantic Segmentation with Boundary Exploration, GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation, DOPE: Distillation Of Part Experts for whole-body 3D pose estimation in the wild, Joint Semantic Instance Segmentation on Graphs with the Semantic Mutex Watershed, Multi-view adaptive graph convolutions for graph classification, Instance Adaptive Self-Training for Unsupervised Domain Adaptation, Weight Decay Scheduling and Knowledge Distillation for Active Learning, HMQ: Hardware Friendly Mixed Precision Quantization Block for CNNs, Truncated Inference for Latent Variable Optimization Problems: Application to Robust Estimation and Learning, Geometry Constrained Weakly Supervised Object Localization, Duality Diagram Similarity: a generic framework for initialization selection in task transfer learning, OneGAN: Simultaneous Unsupervised Learning of Conditional Image Generation, Foreground Segmentation, and Fine-Grained Clustering, Mining self-similarity: Label super-resolution with epitomic representations, SoftPoolNet: Shape Descriptor for Point Cloud Completion and Classification, Photon-Efficient 3D Imaging with A Non-Local Neural Network, AE-OT-GAN: Training GANs from data specific latent distribution, Null-sampling for Interpretable and Fair Representations, Guiding Monocular Depth Estimation Using Depth-Attention Volume, Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping, Boosting Weakly Supervised Object Detection with Progressive Knowledge Transfer, B\'ezierSketch: A generative model for scalable vector sketches, Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation, Domain Adaptation Through Task Distillation, GeLaTO: Generative Latent Textured Objects, PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning, More Classifiers, Less Forgetting: A Generic Multi-classifier Paradigm for Incremental Learning, Extending and Analyzing Self-Supervised Learning Across Domains, Multi-Source Open-Set Deep Adversarial Domain Adaptation, Neural Batch Sampling with Reinforcement Learning for Semi-Supervised Anomaly Detection, LEMMA: A Multi-view Dataset for \underline{L\underline{Earning \underline{Multi-agent \underline{Multi-task \underline{Activities, Teaching Cameras to Feel: Estimating Tactile Physical Properties of Surfaces From Images, Accurate Optimization of Weighted Nuclear Norm for Non-Rigid Structure from Motion, HGNet: Hybrid Generative Network for Zero-shot Domain Adaptation, Beyond Monocular Deraining: Stereo Image Deraining via Semantic Understanding, DBQ: A Differentiable Branch Quantizer for Lightweight Deep Neural Networks, All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling, A Broader Study of Cross-Domain Few-Shot Learning, Practical Poisoning Attacks on Neural Networks, Unsupervised Domain Adaptation in the Dissimilarity Space for Person Re-identification, Learn distributed GAN with Temporary Discriminators, Improving Vision-and-Language Navigation with Image-Text Pairs from the Web, SemifreddoNets: Partially Frozen Neural Networks for~Efficient~Computer~Vision~Systems, Directional Temporal Modeling for Action Recognition, Improving Adversarial Robustness by Enforcing Local and Global Compactness, TopoAL: An Adversarial Learning Approach for Topology-Aware Road Segmentation, Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification, An Efficient Training Framework for Reversible Neural Architectures, Shonan Rotation Averaging: Global Optimality by Surfing $SO(p)^n$, Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation, Semantic Curiosity for Active Visual Learning, FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras, One-Pixel Signature: Characterizing CNN Models for Backdoor Detection, Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning, Structure-Aware Generation Network for Recipe Generation from Images, A Simple and Effective Framework for Pairwise Deep Metric Learning, Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner, A Recurrent Transformer Network for Novel View Action Synthesis, Multi-view Action Recognition using Cross-view Video Prediction, Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation, Hierarchical Face Aging through Disentangled Latent Characteristics, SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction, Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation, Multi-Temporal Recurrent Neural Networks For Progressive Non-Uniform Single Image Deblurring With Incremental Temporal Training, Efficient Outdoor 3D Point Cloud Semantic Segmentation for Critical Road Objects and Distributed Contexts, Attributional Robustness Training using Input-Gradient Spatial Alignment, Reducing the Sim-to-Real Gap for Event Cameras, Spatial Geometric Reasoning for Room Layout Estimation via Deep Reinforcement Learning, Learning Data Augmentation Strategies for Object Detection, DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search, Supervised Edge Attention Network for Accurate Image Instance Segmentation, Discriminative Partial Domain Adversarial Network, Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model, Deep Cross-species Feature Learning for Animal Face Recognition via Residual Interspecies Equivariant Network, Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes, Sound2Sight: Generating Visual Dynamics from Sound and Context, 3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection, NoiseRank: Unsupervised Label Noise Reduction with Dependence Models, Fast Adaptation to Super-Resolution Networks via Meta-Learning, TP-LSD: Tri-Points Based Line Segment Detector, TopoGAN: A Topology-Aware Generative Adversarial Network, SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation, An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification, ProgressFace: Scale-Aware Progressive Learning for Face Detection, Toward Fine-grained Facial Expression Manipulation, Adaptive Object Detection with Dual Multi-Label Prediction, Table Structure Recognition using Top-Down and Bottom-Up Cues, Novel View Synthesis on Unpaired Data by Conditional Deformable Variational Auto-Encoder, Beyond the Nav-Graph: Vision-and-Language Navigation in Continuous Environments, Boundary Content Graph Neural Network for Temporal Action Proposal Generation, Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference, Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition, VLANet: Video-Language Alignment Network for Weakly-Supervised Video Moment Retrieval, CoTeRe-Net: Discovering Collaborative Ternary Relations in Videos, Interpretable Foreground Object Search As Knowledge Distillation, Improving Knowledge Distillation via Category Structure, High Resolution Zero-Shot Domain Adaptation of Synthetically Rendered Face Images, Attentive Prototype Few-shot Learning with Capsule Network-based Embedding, Weakly Supervised Instance Segmentation by Learning Annotation Consistent Instances, DA4AD: End-to-End Deep Attention-based Visual Localization for Autonomous Driving, Modeling the Effects of Windshield Refraction for Camera Calibration, Learning to Localize Actions from Moments, Visual-Relation Conscious Image Generation from Structured-Text, Patch-wise Attack for Fooling Deep Neural Network, Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search, MABNet: A Lightweight Stereo Network Based on Multibranch Adjustable Bottleneck Module, Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes, Asymmetric Two-Stream Architecture for Accurate RGB-D Saliency Detection, Explaining Image Classifiers using Statistical Fault Localization, Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers, TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning, Learning Video Representations by Transforming Time, Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation, Variational Connectionist Temporal Classification, PROFIT: A Novel Training Method for sub-4-bit MobileNet Models, End-to-end Dynamic Matching Network for Multi-view Multi-person 3d Pose Estimation, Deep Decomposition Learning for Inverse Imaging Problems, FLOT: Scene Flow on Point Clouds guided by Optimal Transport, Accurate Reconstruction of Oriented 3D Points using Affine Correspondences, Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows, Controlling Style and Semantics in Weakly-Supervised Image Generation, A Novel Line Integral Transform for 2D Affine-Invariant Shape Retrieval, Explanation-based Weakly-supervised Learning of Visual Relations with Graph Networks, Jointly learning visual motion and confidence from local patches in event cameras, Document Structure Extraction using Prior based High Resolution Hierarchical Semantic Segmentation, SODA: Story Oriented Dense Video Captioning Evaluation Framework, Measuring the Importance of Temporal Features in Video Saliency, Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, Towards Reliable Evaluation of Algorithms for Road Network Reconstruction from Aerial Images, Online Continual Learning under Extreme Memory Constraints, Defense Against Adversarial Attacks via Controlling Gradient Leaking on Embedded Manifolds, Improving Optical Flow on a Pyramid Level, Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations, Learning to Learn Parameterized Classification Networks for Scalable Input Images, Stereo Event-based Particle Tracking Velocimetry for 3D Fluid Flow Reconstruction, Sketch-Guided Object Localization in Natural Images, A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses, ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval, Simplicial Complex based Point Correspondence between Images warped onto Manifolds, Representation Learning on Visual-Symbolic Graphs for Video Understanding, Distance-Normalized Unified Representation for Monocular 3D Object Detection, Sequential Deformation for Accurate Scene Text Detection, Where to Explore Next? Fangchao Liu, Lingyong Yan, Hongyu Lin, Xianpei Han and Le Sun, BERTGen: Multi-task Generation through BERT Henry Weld, Guanghao Huang, Jean Lee, Tongshu Zhang, Kunze Wang, Xinghong Guo, Siqu Long, Josiah Poon and Caren Han, Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection Tiberiu Sosea and Cornelia Caragea, Discrete Cosine Transform as Universal Sentence Encoder Chunting Zhou, Graham Neubig, Jiatao Gu, Mona Diab, Francisco Guzman, Luke Zettlemoyer and Marjan Ghazvininejad, K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters Bo Zhang, Xiaoming Zhang, Yun Liu, Lei Cheng and Zhoujun Li, Changes in European Solidarity Before and During COVID-19: Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset Nitish Gupta, Sameer Singh and Matt Gardner, Multilingual Agreement for Multilingual Neural Machine Translation Dou Hu, Lingwei Wei and Xiaoyong Huai, Challenges in Information-Seeking QA: Unanswerable Questions and Paragraph Retrieval Laura Vasquez-Rodriguez, Matthew Shardlow, Piotr Przybya and Sophia Ananiadou, Frustratingly Simple Few-Shot Slot Tagging What is Learned in Deep Uncalibrated Photometric Stereo? Yun-Zhu Song, Yi-Syuan Chen, Yi-Ting Chang, Shao-Yu Weng and Hong-Han Shuai, LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization Hongxuan Tang, Hongyu Li, Jing Liu, Yu Hong, Hua Wu and Haifeng Wang, How effective is BERT without word ordering? Matt Wilber, William Timkey and Marten Van Schijndel, AgreeSum: Agreement-Oriented Multi-Document Summarization Qiang Sheng, Juan Cao, Xueyao Zhang, Xirong Li and Lei Zhong, Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti and Arun Sacheti, Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders A Geometric Perspective towards Neural Calibration via Sensitivity Decomposition, Towards a Unified Information-Theoretic Framework for Generalization, Bayesian decision-making under misspecified priors with applications to meta-learning, Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization, The effectiveness of feature attribution methods and its correlation with automatic evaluation scores, Unbiased Classification through Bias-Contrastive and Bias-Balanced Learning, Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering, Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information, Online false discovery rate control for anomaly detection in time series, Pragmatic Image Compression for Human-in-the-Loop Decision-Making, Generalized Linear Bandits with Local Differential Privacy, On the Algorithmic Stability of Adversarial Training, Width-based Lookaheads with Learnt Base Policies and Heuristics Over the Atari-2600 Benchmark, Characterizing possible failure modes in physics-informed neural networks, Artistic Style Transfer with Internal-external Learning and Contrastive Learning, Fast Abductive Learning by Similarity-based Consistency Optimization, To Beam Or Not To Beam: That is a Question of Cooperation for Language GANs, Shapley Residuals: Quantifying the limits of the Shapley value for explanations, Joint Inference for Neural Network Depth and Dropout Regularization, Tractable Density Estimation on Learned Manifolds with Conformal Embedding Flows, The Limits of Optimal Pricing in the Dark, No RL, No Simulation: Learning to Navigate without Navigating, Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model, Improving Compositionality of Neural Networks by Decoding Representations to Inputs, The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle, Improving Deep Learning Interpretability by Saliency Guided Training, SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data, Optimal Rates for Nonparametric Density Estimation under Communication Constraints, Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery, Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings, Learning Generalized Gumbel-max Causal Mechanisms, Bandit Learning with Delayed Impact of Actions, A Stochastic Newton Algorithm for Distributed Convex Optimization, Towards Sharper Generalization Bounds for Structured Prediction, Automated Discovery of Adaptive Attacks on Adversarial Defenses, PolarStream: Streaming Object Detection and Segmentation with Polar Pillars, Representation Costs of Linear Neural Networks: Analysis and Design, Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm, Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media, Curriculum Disentangled Recommendation with Noisy Multi-feedback, Interpretable agent communication from scratch (with a generic visual processor emerging on the side), MAU: A Motion-Aware Unit for Video Prediction and Beyond, Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning, Streaming Belief Propagation for Community Detection, The staircase property: How hierarchical structure can guide deep learning, MagNet: A Neural Network for Directed Graphs, Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning, Topological Relational Learning on Graphs, Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks, Least Square Calibration for Peer Reviews, Scaling Up Exact Neural Network Compression by ReLU Stability, Passive attention in artificial neural networks predicts human visual selectivity, GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction, Instance-Dependent Partial Label Learning, Deep Learning with Label Differential Privacy, Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification, The Role of Global Labels in Few-Shot Classification and How to Infer Them, NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction, Improved Guarantees for Offline Stochastic Matching via new Ordered Contention Resolution Schemes, UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis, Is Bang-Bang Control All You Need?