← Core Methods
Machine Learning › Core Methods ›

Representation Learning

18863 directly classified papers

Papers per year

Papers

Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015
On the Complexity of Learning with Kernels COLT 2015
Efficient Representations for Lifelong Learning and Autoencoding COLT 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015
A la Carte – Learning Fast Kernels AISTATS 2015
A Topic Modeling Approach to Ranking AISTATS 2015
Modeling Skill Acquisition Over Time with Sequence and Topic Modeling AISTATS 2015
Simultaneous Video Defogging and Stereo Reconstruction CVPR 2015
Sparse Representation Classification With Manifold Constraints Transfer CVPR 2015
Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection CVPR 2015
Context Aware Active Learning of Activity Recognition Models ICCV 2015
Learning to See by Moving ICCV 2015
RIDE: Reversal Invariant Descriptor Enhancement ICCV 2015
HARF: Hierarchy-Associated Rich Features for Salient Object Detection ICCV 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Distributed Matrix Completion and Robust Factorization JMLR 2015
Local Identification of Overcomplete Dictionaries JMLR 2015
The Algebraic Combinatorial Approach for Low-Rank Matrix Completion JMLR 2015
Completing Any Low-rank Matrix, Provably JMLR 2015
Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares JMLR 2015
Discriminative Pose-Free Descriptors for Face and Object Matching ICCV 2015
Robust Heart Rate Measurement From Video Using Select Random Patches ICCV 2015
Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution ICCV 2015
Simultaneous Foreground Detection and Classification With Hybrid Features ICCV 2015