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Representation Learning

20,822 papers

Papers per year

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309
2011
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Papers

When VLAD Met Hilbert CVPR 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016
Sliced Wasserstein Kernels for Probability Distributions CVPR 2016
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations CVPR 2016
Synthesized Classifiers for Zero-Shot Learning CVPR 2016
Learning Deep Representation for Imbalanced Classification CVPR 2016
Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition CVPR 2016
Theory and Practice of Structure-From-Motion Using Affine Correspondences CVPR 2016
A 3D Morphable Model Learnt From 10,000 Faces CVPR 2016
Some Like It Hot - Visual Guidance for Preference Prediction CVPR 2016
Discriminative Invariant Kernel Features: A Bells-and-Whistles-Free Approach to Unsupervised Face Recognition and Pose Estimation CVPR 2016
Bottom-Up and Top-Down Reasoning With Hierarchical Rectified Gaussians CVPR 2016
Linear Shape Deformation Models With Local Support Using Graph-Based Structured Matrix Factorisation CVPR 2016
A Field Model for Repairing 3D Shapes CVPR 2016
Longitudinal Face Modeling via Temporal Deep Restricted Boltzmann Machines CVPR 2016
Estimating Correspondences of Deformable Objects "In-The-Wild" CVPR 2016
Sparse Coding for Classification via Discrimination Ensemble CVPR 2016
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization CVPR 2016
TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016
On Benefits of Selection Diversity via Bilevel Exclusive Sparsity CVPR 2016
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning CVPR 2016
Fast Zero-Shot Image Tagging CVPR 2016
Uprooting and Rerooting Graphical Models ICML 2016
Diversity-Promoting Bayesian Learning of Latent Variable Models ICML 2016