representation learning

Neural Belief Tracker: Data-Driven Dialogue State Tracking ACL 2017 Neural Expectation Maximization NeurIPS 2017 Neural Machine Translation with Word Predictions EMNLP 2017 Neural Structural Correspondence Learning for Domain Adaptation CoNLL 2017 OctNet: Learning Deep 3D Representations at High Resolutions CVPR 2017 Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability ICML 2017 Poincaré Embeddings for Learning Hierarchical Representations NeurIPS 2017 Predicting Word Association Strengths EMNLP 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017 Reusing Neural Speech Representations for Auditory Emotion Recognition IJCNLP 2017 Risk Bounds for Transferring Representations With and Without Fine-Tuning ICML 2017 Rotated Word Vector Representations and their Interpretability EMNLP 2017 SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NeurIPS 2017 See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification CVPR 2017 Self-paced Compensatory Deep Boltzmann Machine for Semi-Structured Document Embedding IJCAI 2017 Semi-Supervised Learning for Surface EMG-based Gesture Recognition IJCAI 2017 Sentiment Lexicon Construction with Representation Learning Based on Hierarchical Sentiment Supervision EMNLP 2017 Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation ICML 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NeurIPS 2017 Sparsity and Noise: Where Knowledge Graph Embeddings Fall Short EMNLP 2017 Speech Representation Learning Using Unsupervised Data-Driven Modulation Filtering for Robust ASR Interspeech 2017 Stacked Generative Adversarial Networks CVPR 2017 Stacked Similarity-Aware Autoencoders IJCAI 2017 Straight to Shapes: Real-Time Detection of Encoded Shapes CVPR 2017 Structured Embedding Models for Grouped Data NeurIPS 2017