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Representation Learning

18863 directly classified papers

Papers per year

Papers

Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification NIPS 2010
Extended Bayesian Information Criteria for Gaussian Graphical Models NIPS 2010
Label Embedding Trees for Large Multi-Class Tasks NIPS 2010
CUR from a Sparse Optimization Viewpoint NIPS 2010
Unsupervised Kernel Dimension Reduction NIPS 2010
Feature Construction for Inverse Reinforcement Learning NIPS 2010
Tree-Structured Stick Breaking for Hierarchical Data NIPS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NIPS 2010
Humans Learn Using Manifolds, Reluctantly NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Spike timing-dependent plasticity as dynamic filter NIPS 2010
A Family of Penalty Functions for Structured Sparsity NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Graph-Valued Regression NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
Generating more realistic images using gated MRF's NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010