Representation Learning

Internal Robust Representations for Domain Generalization AAAI 2023 Interpolating Graph Pair to Regularize Graph Classification AAAI 2023 Interpreting Sentiment Composition with Latent Semantic Tree ACL 2023 Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023 Is Anisotropy Truly Harmful? A Case Study on Text Clustering ACL 2023 Isometric Quotient Variational Auto-Encoders for Structure-Preserving Representation Learning NeurIPS 2023 Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models EMNLP 2023 Isotropy-Enhanced Conditional Masked Language Models EMNLP 2023 JacobiNeRF: NeRF Shaping With Mutual Information Gradients CVPR 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NeurIPS 2023 Kernel Aware Resampler CVPR 2023 Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023 K-UniMorph: Korean Universal Morphology and its Feature Schema ACL 2023 Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification ACL 2023 Label Information Bottleneck for Label Enhancement CVPR 2023 Labeling Neural Representations with Inverse Recognition NeurIPS 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023 Language-Agnostic Bias Detection in Language Models with Bias Probing EMNLP 2023 Language Modeling with Latent Situations ACL 2023 Language Model Pre-training on True Negatives AAAI 2023 Latent Variable Representation for Reinforcement Learning ICLR 2023 Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition ACL 2023 Layout Generation as Intermediate Action Sequence Prediction AAAI 2023 Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing ACL 2023 Leaping Into Memories: Space-Time Deep Feature Synthesis ICCV 2023