representation learning

Measuring and Improving the Use of Graph Information in Graph Neural Networks ICLR 2020 Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards AAAI 2020 MELD: Meta-Reinforcement Learning from Images via Latent State Models CoRL 2020 Memory-Based Graph Networks ICLR 2020 Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract) AAAI 2020 Meta-Learning without Memorization ICLR 2020 Meta-Neighborhoods NeurIPS 2020 METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis COLING 2020 Minimizing FLOPs to Learn Efficient Sparse Representations ICLR 2020 MIRNet: Learning Multiple Identities Representations in Overlapped Speech Interspeech 2020 MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020 Mixed-curvature Variational Autoencoders ICLR 2020 MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020 MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling WACV 2020 Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020 Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) AAAI 2020 Modeling Long Context for Task-Oriented Dialogue State Generation ACL 2020 Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020 Modularized Syntactic Neural Networks for Sentence Classification EMNLP 2020 Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders ACL 2020 Multi-Agent Actor-Critic with Hierarchical Graph Attention Network AAAI 2020 Multi-Component Graph Convolutional Collaborative Filtering AAAI 2020 Multi-Label Classification with Label Graph Superimposing AAAI 2020