representation learning

Learning Sparse Sentence Encoding without Supervision: An Exploration of Sparsity in Variational Autoencoders ACL 2021 Learning State Representations from Random Deep Action-conditional Predictions NeurIPS 2021 Learning Student-Friendly Teacher Networks for Knowledge Distillation NeurIPS 2021 Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment ACL 2021 Learning the Predictability of the Future CVPR 2021 Learning to Ground Multi-Agent Communication with Autoencoders NeurIPS 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning to Pre-train Graph Neural Networks AAAI 2021 Learning to Represent Action Values as a Hypergraph on the Action Vertices ICLR 2021 Learning to See by Looking at Noise NeurIPS 2021 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021 Learning Universal Authorship Representations EMNLP 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021 Learning with Holographic Reduced Representations NeurIPS 2021 Learning with Noisy Correspondence for Cross-modal Matching NeurIPS 2021 Learning with Retrospection AAAI 2021 Learn The Big Picture: Representation Learning for Clustering ACL 2021 LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech Interspeech 2021 Leveraging Good Representations in Linear Contextual Bandits ICML 2021 LieTransformer: Equivariant Self-Attention for Lie Groups ICML 2021 Lifelong Knowledge-Enriched Social Event Representation Learning EACL 2021 Linear Semantics in Generative Adversarial Networks CVPR 2021 LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes NeurIPS 2021 Local Disentanglement in Variational Auto-Encoders Using Jacobian L_1 Regularization NeurIPS 2021 LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision ICCV 2021