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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Humans Learn Using Manifolds, Reluctantly NIPS 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
Factorized Latent Spaces with Structured Sparsity NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Feature Construction for Inverse Reinforcement Learning NIPS 2010
Shadow Dirichlet for Restricted Probability Modeling NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
Multitask Learning without Label Correspondences NIPS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NIPS 2010
Basis Construction from Power Series Expansions of Value Functions NIPS 2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development NIPS 2010
On the Convexity of Latent Social Network Inference NIPS 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Efficient algorithms for learning kernels from multiple similarity matrices with general convex loss functions NIPS 2010
Variable margin losses for classifier design NIPS 2010
A Discriminative Latent Model of Image Region and Object Tag Correspondence NIPS 2010
Self-Paced Learning for Latent Variable Models NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Learning the context of a category NIPS 2010
Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NIPS 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Robust PCA via Outlier Pursuit NIPS 2010
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010