Representation Learning

Predictive-State Decoders: Encoding the Future into Recurrent Networks NeurIPS 2017 Predictive State Recurrent Neural Networks NeurIPS 2017 Premise Selection for Theorem Proving by Deep Graph Embedding NeurIPS 2017 Prerequisite Relation Learning for Concepts in MOOCs ACL 2017 Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space CVPR 2017 Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL 2017 Projective Low-rank Subspace Clustering via Learning Deep Encoder IJCAI 2017 Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017 PRUNE: Preserving Proximity and Global Ranking for Network Embedding NeurIPS 2017 Pulling Out the Stops: Rethinking Stopword Removal for Topic Models EACL 2017 PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings SemEval 2017 Quantifying the Effects of Text Duplication on Semantic Models EMNLP 2017 Quaternion Denoising Encoder-Decoder for Theme Identification of Telephone Conversations Interspeech 2017 Query-Focused Video Summarization: Dataset, Evaluation, and a Memory Network Based Approach CVPR 2017 RACE: Large-scale ReAding Comprehension Dataset From Examinations EMNLP 2017 Radiometric Calibration From Faces in Images CVPR 2017 Random Consensus Robust PCA AISTATS 2017 Random Projection Filter Bank for Time Series Data NeurIPS 2017 Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension EMNLP 2017 Reconstruct & Crush Network NeurIPS 2017 Reconstructing Undirected Graphs from Eigenspaces JMLR 2017 Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017 Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017 Recurrent Highway Networks ICML 2017 Recurrent Ladder Networks NeurIPS 2017