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Representation Learning

18863 directly classified papers

Papers per year

Papers

Bayesian Learning in Sparse Graphical Factor Models via Variational Mean-Field Annealing JMLR 2010
Half Transductive Ranking AISTATS 2010
FastInf: An Efficient Approximate Inference Library JMLR 2010
Variable margin losses for classifier design NIPS 2010
Universal Kernel-Based Learning with Applications to Regular Languages JMLR 2009
Learning Approximate Sequential Patterns for Classification JMLR 2009
Refinement of Reproducing Kernels JMLR 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions NIPS 2009
Sharing Features among Dynamical Systems with Beta Processes NIPS 2009
Nonparametric Latent Feature Models for Link Prediction NIPS 2009
On Learning Rotations NIPS 2009
Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out NIPS 2009
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming 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
FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NIPS 2009
Exponential Family Graph Matching and Ranking NIPS 2009
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships NIPS 2009
Abstraction and Relational learning NIPS 2009
Bayesian Sparse Factor Models and DAGs Inference and Comparison NIPS 2009
Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NIPS 2009
Learning in Markov Random Fields using Tempered Transitions NIPS 2009