Representation Learning

Guiding Energy-based Models via Contrastive Latent Variables ICLR 2023 GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence NeurIPS 2023 GVdoc - Graph-based Visual DOcument Classification ACL 2023 Half-Hop: A graph upsampling approach for slowing down message passing ICML 2023 Handling Missing Data via Max-Entropy Regularized Graph Autoencoder AAAI 2023 Handling the Alignment for Wake Word Detection: A Comparison Between Alignment-Based, Alignment-Free and Hybrid Approaches Interspeech 2023 Harmonic Neural Networks ICML 2023 Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning IJCAI 2023 Harnessing Unrecognizable Faces for Improving Face Recognition WACV 2023 Hawkes Process Based on Controlled Differential Equations IJCAI 2023 Helping a Friend or Supporting a Cause? Disentangling Active and Passive Cosponsorship in the U.S. Congress ACL 2023 Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis AAAI 2023 HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces CVPR 2023 HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection AAAI 2023 Hi4D: 4D Instance Segmentation of Close Human Interaction CVPR 2023 Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining EMNLP 2023 HiCL: Hierarchical Contrastive Learning of Unsupervised Sentence Embeddings EMNLP 2023 Hidden Schema Networks ACL 2023 Hiding Data Helps: On the Benefits of Masking for Sparse Coding ICML 2023 Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement ICLR 2023 Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality NeurIPS 2023 Hierarchical Enhancement Framework for Aspect-based Argument Mining EMNLP 2023 Hierarchical Event Grounding AAAI 2023 Hierarchical Kernels in Deep Kernel Learning JMLR 2023 Hierarchically Gated Recurrent Neural Network for Sequence Modeling NeurIPS 2023