representation learning

Language Modeling with Shared Grammar ACL 2019 Large-Scale Visual Relationship Understanding AAAI 2019 Latent Multi-Task Architecture Learning AAAI 2019 Learnability for the Information Bottleneck UAI 2019 Learning about an exponential amount of conditional distributions NeurIPS 2019 Learning Actionable Representations with Goal Conditioned Policies ICLR 2019 Learning and Data Selection in Big Datasets ICML 2019 Learning Attribute-Specific Representations for Visual Tracking AAAI 2019 Learning Basis Representation to Refine 3D Human Pose Estimations AAAI 2019 Learning Controllable Fair Representations AISTATS 2019 Learning Deep Bilinear Transformation for Fine-grained Image Representation NeurIPS 2019 Learning deep representations by mutual information estimation and maximization ICLR 2019 Learning Disentangled Representations for Recommendation NeurIPS 2019 Learning Document Embeddings with Crossword Prediction AAAI 2019 Learning elementary structures for 3D shape generation and matching NeurIPS 2019 Learning Embeddings into Entropic Wasserstein Spaces ICLR 2019 Learning Explicit and Implicit Structures for Targeted Sentiment Analysis EMNLP 2019 LEARNING FACTORIZED REPRESENTATIONS FOR OPEN-SET DOMAIN ADAPTATION ICLR 2019 Learning from Few Subjects with Large Amounts of Voice Monitoring Data MLHC 2019 Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019 Learning Hierarchical Discourse-level Structure for Fake News Detection NAACL 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NeurIPS 2019 Learning Invariant Representations of Social Media Users EMNLP 2019 Learning Invariant Representations with Kernel Warping AISTATS 2019 Learning Joint Gait Representation via Quintuplet Loss Minimization CVPR 2019