Representation Learning

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares ICML 2016 Stochastic Variational Inference for the HDP-HMM AISTATS 2016 Strategic Attentive Writer for Learning Macro-Actions NeurIPS 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 Structured Feature Learning for Pose Estimation CVPR 2016 Structured Generative Models of Continuous Features for Word Sense Induction COLING 2016 Structured Prediction Energy Networks ICML 2016 Structured Receptive Fields in CNNs CVPR 2016 Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016 Structure Learning in Bayesian Networks of a Moderate Size by Efficient Sampling JMLR 2016 Structure Learning of Partitioned Markov Networks ICML 2016 Sublinear Time Orthogonal Tensor Decomposition NeurIPS 2016 Subspace Detection of DNN Posterior Probabilities via Sparse Representation for Query by Example Spoken Term Detection Interspeech 2016 Subspace Learning with Partial Information JMLR 2016 Summary Transfer: Exemplar-Based Subset Selection for Video Summarization CVPR 2016 Supervised Learning with Tensor Networks NeurIPS 2016 Synergy of Monotonic Rules JMLR 2016 Synthesized Classifiers for Zero-Shot Learning CVPR 2016 Tagger: Deep Unsupervised Perceptual Grouping NeurIPS 2016 Tandem Features for Text-Dependent Speaker Verification on the RedDots Corpus Interspeech 2016 TASTY: Interactive Entity Linking As-You-Type COLING 2016 Teaming Up: Making the Most of Diverse Representations for a Novel Personalized Speech Retrieval Application Interspeech 2016 Temporal Multimodal Learning in Audiovisual Speech Recognition CVPR 2016 Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction NeurIPS 2016 Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016