Representation Learning

Learning Scale-Free Networks by Dynamic Node Specific Degree Prior ICML 2015 Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015 Learning Structured Output Representation using Deep Conditional Generative Models NeurIPS 2015 Learning to Linearize Under Uncertainty NeurIPS 2015 Learning to Predict Saliency on Face Images ICCV 2015 Learning to See by Moving ICCV 2015 Learning to Transduce with Unbounded Memory NeurIPS 2015 Learning to Transfer: Transferring Latent Task Structures and Its Application to Person-Specific Facial Action Unit Detection ICCV 2015 Learning Transformations for Clustering and Classification JMLR 2015 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Learning Word Representations with Hierarchical Sparse Coding ICML 2015 Light Field From Micro-Baseline Image Pair CVPR 2015 Linear Dimensionality Reduction: Survey, Insights, and Generalizations JMLR 2015 Linearization to Nonlinear Learning for Visual Tracking ICCV 2015 Local Causal Discovery of Direct Causes and Effects NeurIPS 2015 Local Identification of Overcomplete Dictionaries JMLR 2015 Localize Me Anywhere, Anytime: A Multi-Task Point-Retrieval Approach ICCV 2015 Local Subspace Collaborative Tracking ICCV 2015 Long-Term Recurrent Convolutional Networks for Visual Recognition and Description CVPR 2015 Low Rank Approximation using Error Correcting Coding Matrices ICML 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Low-Rank Tensor Constrained Multiview Subspace Clustering ICCV 2015 MADE: Masked Autoencoder for Distribution Estimation ICML 2015 MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking ICCV 2015