Representation Learning

Variable margin losses for classifier design NeurIPS 2010 Abstraction and Relational learning NeurIPS 2009 Accelerating Bayesian Structural Inference for Non-Decomposable Gaussian Graphical Models NeurIPS 2009 A joint maximum-entropy model for binary neural population patterns and continuous signals NeurIPS 2009 An Additive Latent Feature Model for Transparent Object Recognition NeurIPS 2009 An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism NeurIPS 2009 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 Bayesian Sparse Factor Models and DAGs Inference and Comparison NeurIPS 2009 Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships NeurIPS 2009 Compressed Least-Squares Regression NeurIPS 2009 Conditional Neural Fields NeurIPS 2009 Constructing Topological Maps using Markov Random Fields and Loop-Closure Detection NeurIPS 2009 Correlation Coefficients are Insufficient for Analyzing Spike Count Dependencies NeurIPS 2009 Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process NeurIPS 2009 Ensemble Nystrom Method NeurIPS 2009 Exponential Family Graph Matching and Ranking NeurIPS 2009 Extending Phase Mechanism to Differential Motion Opponency for Motion Pop-out NeurIPS 2009 FACTORIE: Probabilistic Programming via Imperatively Defined Factor Graphs NeurIPS 2009 Factor Modeling for Advertisement Targeting NeurIPS 2009 Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming NeurIPS 2009 Fast subtree kernels on graphs NeurIPS 2009 Free energy score space NeurIPS 2009 Group Sparse Coding NeurIPS 2009 Heavy-Tailed Symmetric Stochastic Neighbor Embedding NeurIPS 2009 Hierarchical Mixture of Classification Experts Uncovers Interactions between Brain Regions NeurIPS 2009