Representation Learning

Metaphor Detection using Context and Concreteness ACL 2020 Metaphor Detection Using Contextual Word Embeddings From Transformers ACL 2020 MetaSDF: Meta-Learning Signed Distance Functions NeurIPS 2020 Methods for Numeracy-Preserving Word Embeddings EMNLP 2020 MIND: A Large-scale Dataset for News Recommendation ACL 2020 Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Modeling Word Formation in English–German Neural Machine Translation ACL 2020 Modelling Lexical Ambiguity with Density Matrices CoNLL 2020 Modelling Semantic Categories Using Conceptual Neighborhood AAAI 2020 MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification EMNLP 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Moving in the Right Direction: A Regularization for Deep Metric Learning CVPR 2020 Multi-label Contrastive Predictive Coding NeurIPS 2020 Multi-Level Head-Wise Match and Aggregation in Transformer for Textual Sequence Matching AAAI 2020 Multilingual Alignment of Contextual Word Representations ICLR 2020 Multi-Scale Fusion Subspace Clustering Using Similarity Constraint CVPR 2020 Multi-Scale Progressive Fusion Network for Single Image Deraining CVPR 2020 Multi-Scale Representation Learning for Spatial Feature Distributions using Grid Cells ICLR 2020 Multi-Sentence Argument Linking ACL 2020 Multi-View Clustering in Latent Embedding Space AAAI 2020 Multi-Zone Unit for Recurrent Neural Networks AAAI 2020 Nested Scale-Editing for Conditional Image Synthesis CVPR 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020