Representation Learning

Learning Sparse Representations in Reinforcement Learning with Sparse Coding IJCAI 2017 Learning Texture Manifolds with the Periodic Spatial GAN ICML 2017 Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding NeurIPS 2017 Learning the Multilinear Structure of Visual Data CVPR 2017 Learning the Structure of Generative Models without Labeled Data ICML 2017 Learning the Structure of Variable-Order CRFs: a finite-state perspective EMNLP 2017 Learning to Align the Source Code to the Compiled Object Code ICML 2017 Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL 2017 Learning to Discover Sparse Graphical Models ICML 2017 Learning to Explain Non-Standard English Words and Phrases IJCNLP 2017 Learning to Generate Market Comments from Stock Prices ACL 2017 Learning to generate one-sentence biographies from Wikidata EACL 2017 Learning to Generate Product Reviews from Attributes EACL 2017 Learning to Negate Adjectives with Bilinear Models EACL 2017 Learning to Paraphrase for Question Answering EMNLP 2017 Learning Topic-Sensitive Word Representations ACL 2017 Learning to See Physics via Visual De-animation NeurIPS 2017 Learning Transferable Representation for Bilingual Relation Extraction via Convolutional Neural Networks IJCNLP 2017 Learning Translations via Matrix Completion EMNLP 2017 Learning User Embeddings from Emails EACL 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017 Learning Word Relatedness over Time EMNLP 2017 Learning Word Representations with Regularization from Prior Knowledge CoNLL 2017 Leveraging Knowledge Bases in LSTMs for Improving Machine Reading ACL 2017 Lexical Simplification with Neural Ranking EACL 2017