Representation Learning

Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010 Factorized Latent Spaces with Structured Sparsity NeurIPS 2010 Factorized Orthogonal Latent Spaces AISTATS 2010 FastInf: An Efficient Approximate Inference Library JMLR 2010 Feature Construction for Inverse Reinforcement Learning NeurIPS 2010 Feature Selection using Multiple Streams AISTATS 2010 Fractionally Predictive Spiking Neurons NeurIPS 2010 Generalized Power Method for Sparse Principal Component Analysis JMLR 2010 Generating more realistic images using gated MRF's NeurIPS 2010 Generative Local Metric Learning for Nearest Neighbor Classification NeurIPS 2010 Graph Kernels JMLR 2010 Graph-Valued Regression NeurIPS 2010 Group Sparse Coding with a Laplacian Scale Mixture Prior NeurIPS 2010 Guaranteed Rank Minimization via Singular Value Projection NeurIPS 2010 Half Transductive Ranking AISTATS 2010 Humans Learn Using Manifolds, Reluctantly NeurIPS 2010 Identifying graph-structured activation patterns in networks NeurIPS 2010 Implicit Differentiation by Perturbation NeurIPS 2010 Improvements to the Sequence Memoizer NeurIPS 2010 Incremental Sigmoid Belief Networks for Grammar Learning JMLR 2010 Inference and Learning in Networks of Queues AISTATS 2010 Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010 Information Retrieval Perspective to Nonlinear Dimensionality Reduction for Data Visualization JMLR 2010 Kernel Descriptors for Visual Recognition NeurIPS 2010 Label Embedding Trees for Large Multi-Class Tasks NeurIPS 2010