Representation Learning

Learning Plannable Representations with Causal InfoGAN NeurIPS 2018 Learning Policy Representations in Multiagent Systems ICML 2018 Learning Portable Symbolic Representations IJCAI 2018 Learning Registered Point Processes from Idiosyncratic Observations ICML 2018 Learning Representations for Detecting Abusive Language EMNLP 2018 Learning representations for sentiment classification using Multi-task framework EMNLP 2018 Learning Scalar Adjective Intensity from Paraphrases EMNLP 2018 Learning Semantic Representations for Unsupervised Domain Adaptation ICML 2018 Learning semantic similarity in a continuous space NeurIPS 2018 Learning Sequence Encoders for Temporal Knowledge Graph Completion EMNLP 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction IJCAI 2018 Learning Sparse Latent Representations with the Deep Copula Information Bottleneck ICLR 2018 Learning Spatial-Aware Regressions for Visual Tracking CVPR 2018 Learning Spontaneity to Improve Emotion Recognition in Speech Interspeech 2018 Learning Steady-States of Iterative Algorithms over Graphs ICML 2018 Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction COLING 2018 Learning to Control the Specificity in Neural Response Generation ACL 2018 Learning to Decompose and Disentangle Representations for Video Prediction NeurIPS 2018 Learning to Detect Features in Texture Images CVPR 2018 Learning to Explain Ambiguous Headlines of Online News IJCAI 2018 Learning to Explain: An Information-Theoretic Perspective on Model Interpretation ICML 2018 Learning to Generate Word Representations using Subword Information COLING 2018 Learning to Infer Graphics Programs from Hand-Drawn Images NeurIPS 2018 Learning to Multitask NeurIPS 2018 Learning to Reason with Third Order Tensor Products NeurIPS 2018