Representation Learning

Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction AAAI 2023 Learning Representations without Compositional Assumptions ICML 2023 Learning robust representation for reinforcement learning with distractions by reward sequence prediction UAI 2023 Learning Robust State Observers using Neural ODEs L4DC 2023 Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction NeurIPS 2023 Learning Second-Order Attentive Context for Efficient Correspondence Pruning AAAI 2023 Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing CVPR 2023 Learning Semantic Relationship Among Instances for Image-Text Matching CVPR 2023 Learning Shape Primitives via Implicit Convexity Regularization ICCV 2023 Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval ICCV 2023 Learning Summary-Worthy Visual Representation for Abstractive Summarization in Video IJCAI 2023 Learning Survival Distribution with Implicit Survival Function IJCAI 2023 Learning Symbolic Models for Graph-structured Physical Mechanism ICLR 2023 Learning Time-Invariant Representations for Individual Neurons from Population Dynamics NeurIPS 2023 Learning to Abstract with Nonparametric Variational Information Bottleneck EMNLP 2023 Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization EMNLP 2023 Learning to Compress Prompts with Gist Tokens NeurIPS 2023 Learning to Count Isomorphisms with Graph Neural Networks AAAI 2023 Learning to Decouple Complex Systems ICML 2023 Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning CoRL 2023 Learning to Distill Global Representation for Sparse-View CT ICCV 2023 Learning to Generalize Provably in Learning to Optimize AISTATS 2023 Learning to Imagine: Visually-Augmented Natural Language Generation ACL 2023 Learning to Initiate and Reason in Event-Driven Cascading Processes ICML 2023 Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling ICML 2023