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Representation Learning

18863 directly classified papers

Papers per year

Papers

Recursive Inversion Models for Permutations NIPS 2014
Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014
A statistical model for tensor PCA NIPS 2014
Sparse Bayesian structure learning with “dependent relevance determination” priors NIPS 2014
Spectral Learning of Mixture of Hidden Markov Models NIPS 2014
Advances in Learning Bayesian Networks of Bounded Treewidth NIPS 2014
Structure learning of antiferromagnetic Ising models NIPS 2014
Detecting Objects using Deformation Dictionaries CVPR 2014
Robust Tensor Decomposition with Gross Corruption NIPS 2014
Multiview Shape and Reflectance from Natural Illumination CVPR 2014
Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Application in Visual Speech Recognition CVPR 2014
Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NIPS 2014
Learning with Fredholm Kernels NIPS 2014
Multi-Scale Spectral Decomposition of Massive Graphs NIPS 2014
3D Shape and Indirect Appearance by Structured Light Transport CVPR 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Discovering Structure in High-Dimensional Data Through Correlation Explanation NIPS 2014
A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014
Information-Theoretic Characterization of Sparse Recovery AISTATS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Latent Gaussian Models for Topic Modeling AISTATS 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
PatchMatch Based Joint View Selection and Depthmap Estimation CVPR 2014
Cross-Scale Cost Aggregation for Stereo Matching CVPR 2014
Inferring Unseen Views of People CVPR 2014