representation learning

Improving Causal Inference by Increasing Model Expressiveness AAAI 2021 Improving Compositionality of Neural Networks by Decoding Representations to Inputs NeurIPS 2021 Improving Contrastive Learning by Visualizing Feature Transformation ICCV 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NeurIPS 2021 Improving Multimodal fusion via Mutual Dependency Maximisation EMNLP 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021 Improving Transferability of Representations via Augmentation-Aware Self-Supervision NeurIPS 2021 Improving Transformation Invariance in Contrastive Representation Learning ICLR 2021 Independent mechanism analysis, a new concept? NeurIPS 2021 Independent Prototype Propagation for Zero-Shot Compositionality NeurIPS 2021 Inducing Language-Agnostic Multilingual Representations ACL 2021 Inducing Stereotypical Character Roles from Plot Structure EMNLP 2021 Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021 Instabilities of Offline RL with Pre-Trained Neural Representation ICML 2021 Integrating Higher-Level Semantics into Robust Biomedical Name Representations EACL 2021 Interesting Object, Curious Agent: Learning Task-Agnostic Exploration NeurIPS 2021 Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks AAAI 2021 Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network AAAI 2021 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021 Interpreting Representation Quality of DNNs for 3D Point Cloud Processing NeurIPS 2021 Intraclass clustering: an implicit learning ability that regularizes DNNs ICLR 2021 Intriguing Properties of Contrastive Losses NeurIPS 2021 Introducing Orthogonal Constraint in Structural Probes ACL 2021 Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning L4DC 2021 Invariant representation learning for treatment effect estimation UAI 2021