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Representation Learning

18863 directly classified papers

Papers per year

Papers

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016
Learning and Testing Junta Distributions COLT 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method COLT 2016
Basis Learning as an Algorithmic Primitive COLT 2016
Sliced Wasserstein Kernels for Probability Distributions CVPR 2016
When VLAD Met Hilbert CVPR 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations CVPR 2016
Joint Unsupervised Learning of Deep Representations and Image Clusters CVPR 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NIPS 2016
Deep Canonical Time Warping CVPR 2016
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016
Geospatial Correspondences for Multimodal Registration CVPR 2016
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
A 3D Morphable Model Learnt From 10,000 Faces CVPR 2016
A Robust Multilinear Model Learning Framework for 3D Faces CVPR 2016
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
Robust Scene Text Recognition With Automatic Rectification CVPR 2016
Scalable Sparse Subspace Clustering by Orthogonal Matching Pursuit CVPR 2016
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition CVPR 2016
Material Classification Using Raw Time-Of-Flight Measurements CVPR 2016
Online Collaborative Learning for Open-Vocabulary Visual Classifiers CVPR 2016
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion CVPR 2016
Action Recognition in Video Using Sparse Coding and Relative Features CVPR 2016