representation learning

Learning User Representations for Open Vocabulary Image Hashtag Prediction CVPR 2020 Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition Interspeech 2020 Learning Video Object Segmentation From Unlabeled Videos CVPR 2020 Learning Visual Emotion Representations From Web Data CVPR 2020 Learning Voice Representation Using Knowledge Distillation for Automatic Voice Casting Interspeech 2020 LEEP: A New Measure to Evaluate Transferability of Learned Representations ICML 2020 Leveraging Title-Abstract Attentive Semantics for Paper Recommendation AAAI 2020 Lightweight and Robust Representation of Economic Scales from Satellite Imagery AAAI 2020 Lightweight Multi-View 3D Pose Estimation Through Camera-Disentangled Representation CVPR 2020 LIMIT-BERT : Linguistics Informed Multi-Task BERT EMNLP 2020 Linguistic Profiling of a Neural Language Model COLING 2020 Locality and Compositionality in Zero-Shot Learning ICLR 2020 LoCo: Local Contrastive Representation Learning NeurIPS 2020 Logarithmic Pruning is All You Need NeurIPS 2020 Long Short-Term Sample Distillation AAAI 2020 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect NeurIPS 2020 Looking deeper into Time for Activities of Daily Living Recognition WACV 2020 Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition CVPR 2020 Low-Dimensional Hyperbolic Knowledge Graph Embeddings ACL 2020 Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing EMNLP 2020 LSTMs Compose—and Learn—Bottom-Up EMNLP 2020 LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification SemEval 2020 Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation EMNLP 2020 Masking Orchestration: Multi-Task Pretraining for Multi-Role Dialogue Representation Learning AAAI 2020 MDP Homomorphic Networks: Group Symmetries in Reinforcement Learning NeurIPS 2020