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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Learning to Hash with Binary Reconstructive Embeddings NIPS 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Probabilistic Relational PCA NIPS 2009
Riffled Independence for Ranked Data NIPS 2009
Toward Provably Correct Feature Selection in Arbitrary Domains NIPS 2009
Polynomial Semantic Indexing NIPS 2009
On Learning Rotations NIPS 2009
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009
Exponential Family Graph Matching and Ranking NIPS 2009
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out NIPS 2009
Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NIPS 2009
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships NIPS 2009
Abstraction and Relational learning NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NIPS 2009
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NIPS 2009
Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NIPS 2009
Learning transport operators for image manifolds NIPS 2009
Ensemble Nystrom Method NIPS 2009
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009
Locality-sensitive binary codes from shift-invariant kernels NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Matrix Completion from Noisy Entries NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009
A joint maximum-entropy model for binary neural population patterns and continuous signals NIPS 2009