Representation Learning

Are Equivariant Equilibrium Approximators Beneficial? ICML 2023 Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales ACL 2023 Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? ACL 2023 Are Neurons Actually Collapsed? On the Fine-Grained Structure in Neural Representations ICML 2023 Are These the Same Apple? Comparing Images Based on Object Intrinsics NeurIPS 2023 ArgU: A Controllable Factual Argument Generator ACL 2023 A scalable Walsh-Hadamard regularizer to overcome the low-degree spectral bias of neural networks UAI 2023 A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing ACL 2023 A Set Prediction Network For Extractive Summarization ACL 2023 ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling ICCV 2023 A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning ICCV 2023 A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition IJCAI 2023 A Spectral Theory of Neural Prediction and Alignment NeurIPS 2023 A Spectral Viewpoint on Continual Relation Extraction EMNLP 2023 ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources CVPR 2023 Assessing Learned Representations under Open-World Novelty AAAI 2023 AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation ICCV 2023 A State Representation for Diminishing Rewards NeurIPS 2023 A Statistical Perspective on Retrieval-Based Models ICML 2023 AstroNet: When Astrocyte Meets Artificial Neural Network CVPR 2023 A Study on Transformer Configuration and Training Objective ICML 2023 A Survey on User Behavior Modeling in Recommender Systems IJCAI 2023 Asymmetric Feature Fusion for Image Retrieval CVPR 2023 Asymmetric feature interaction for interpreting model predictions ACL 2023 Asymptotics of Network Embeddings Learned via Subsampling JMLR 2023