Representation Learning

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning EMNLP 2021 Learning a Facial Expression Embedding Disentangled From Identity CVPR 2021 Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise CVPR 2021 Learning Asynchronous and Sparse Human-Object Interaction in Videos CVPR 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 Learning by Aligning Videos in Time CVPR 2021 Learning by Planning: Language-Guided Global Image Editing CVPR 2021 Learning Compositional Representation for 4D Captures With Neural ODE CVPR 2021 Learning Comprehensive Motion Representation for Action Recognition AAAI 2021 Learning Debiased Representation via Disentangled Feature Augmentation NeurIPS 2021 Learning Decision Trees Recurrently Through Communication CVPR 2021 Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021 Learning Discriminative Prototypes With Dynamic Time Warping CVPR 2021 Learning Disentangled Behavior Embeddings NeurIPS 2021 Learning from Crowds by Modeling Common Confusions AAAI 2021 Learning from Nested Data with Ornstein Auto-Encoders ICML 2021 Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning AAAI 2021 Learning Graph Cellular Automata NeurIPS 2021 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NeurIPS 2021 Learning Intra-Batch Connections for Deep Metric Learning ICML 2021 Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021 Learning Invariant Representations using Inverse Contrastive Loss AAAI 2021 Learning Mathematical Properties of Integers EMNLP 2021 Learning Neural Network Subspaces ICML 2021 Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis CVPR 2021