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Representation Learning

18863 directly classified papers

Papers per year

Papers

Robust Separation of Reflection from Multiple Images CVPR 2014
Fisher and VLAD with FLAIR CVPR 2014
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity CVPR 2014
Hybrid Discriminative-Generative Approach with Gaussian Processes AISTATS 2014
A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014
Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014
Bags of Spacetime Energies for Dynamic Scene Recognition CVPR 2014
Timing-Based Local Descriptor for Dynamic Surfaces CVPR 2014
Piecewise Planar and Compact Floorplan Reconstruction from Images CVPR 2014
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities CVPR 2014
Mirror Symmetry Histograms for Capturing Geometric Properties in Images CVPR 2014
Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014
To go deep or wide in learning? AISTATS 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
Latent Semantic Representation Learning for Scene Classification ICML 2014
Nearest Neighbors Using Compact Sparse Codes ICML 2014
Uniqueness of Tensor Decompositions with Applications to Polynomial Identifiability COLT 2014
Efficient Nonlinear Markov Models for Human Motion CVPR 2014
Matrix Completion with the Trace Norm: Learning, Bounding, and Transducing JMLR 2014
Avoiding pathologies in very deep networks AISTATS 2014
Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction CVPR 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014
Estimating Latent-Variable Graphical Models using Moments and Likelihoods ICML 2014
Learning the Irreducible Representations of Commutative Lie Groups ICML 2014