representation learning

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability NeurIPS 2017 TAG Parsing with Neural Networks and Vector Representations of Supertags EMNLP 2017 Teaching Compositionality to CNNs CVPR 2017 The Complexity of Explaining Neural Networks Through (group) Invariants ALT 2017 The Incremental Multiresolution Matrix Factorization Algorithm CVPR 2017 The Interplay of Semantics and Morphology in Word Embeddings EACL 2017 The Semantic Proto-Role Linking Model EACL 2017 Topically Driven Neural Language Model ACL 2017 Training Group Orthogonal Neural Networks with Privileged Information IJCAI 2017 Uncorrelation and Evenness: a New Diversity-Promoting Regularizer ICML 2017 Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory IJCAI 2017 Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction ACL 2017 Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation EACL 2017 Unsupervised Learning by Predicting Noise ICML 2017 Unsupervised Learning of Long-Term Motion Dynamics for Videos CVPR 2017 Unsupervised Learning via Total Correlation Explanation IJCAI 2017 Unsupervised Part Learning for Visual Recognition CVPR 2017 Unsupervised Representation Learning Using Convolutional Restricted Boltzmann Machine for Spoof Speech Detection Interspeech 2017 Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm EMNLP 2017 Verb Physics: Relative Physical Knowledge of Actions and Objects ACL 2017 Visual Translation Embedding Network for Visual Relation Detection CVPR 2017 What Does the Speaker Embedding Encode? Interspeech 2017 What do Neural Machine Translation Models Learn about Morphology? ACL 2017 What Do Recurrent Neural Network Grammars Learn About Syntax? EACL 2017 Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations IJCNLP 2017