Representation Learning

Learning Sparse Gaussian Graphical Models with Overlapping Blocks NeurIPS 2016 Learning Structured Low-Rank Representation via Matrix Factorization AISTATS 2016 Learning Temporal Regularity in Video Sequences CVPR 2016 Learning to Assign Orientations to Feature Points CVPR 2016 Learning to Distill: The Essence Vector Modeling Framework COLING 2016 Learning to Localize Little Landmarks CVPR 2016 Learning Transferrable Representations for Unsupervised Domain Adaptation NeurIPS 2016 Lifelong Learning with Weighted Majority Votes NeurIPS 2016 Linear Feature Encoding for Reinforcement Learning NeurIPS 2016 Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016 Linggle Knows: A Search Engine Tells How People Write COLING 2016 LLORMA: Local Low-Rank Matrix Approximation JMLR 2016 Locally Linear Embedding for Exemplar-Based Spectral Conversion Interspeech 2016 Local Sparsity Based Online Dictionary Learning for Environment-Adaptive Speech Enhancement with Nonnegative Matrix Factorization Interspeech 2016 Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Low-Rank Representation of Nearest Neighbor Posterior Probabilities to Enhance DNN Based Acoustic Modeling Interspeech 2016 Low-rank Solutions of Linear Matrix Equations via Procrustes Flow ICML 2016 Markov Latent Feature Models ICML 2016 Material Classification Using Raw Time-Of-Flight Measurements CVPR 2016 Mathematical Information Retrieval based on Type Embeddings and Query Expansion COLING 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 MDL-CW: A Multimodal Deep Learning Framework With Cross Weights CVPR 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016