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Representation Learning

2843 directly classified papers

Papers per year

Papers

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Random Projections for Manifold Learning NIPS 2007
A Kernel Statistical Test of Independence NIPS 2007
Relational Dependency Networks JMLR 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
Efficient Principled Learning of Thin Junction Trees NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Predictive Matrix-Variate t Models NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Retrieved context and the discovery of semantic structure NIPS 2007
Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks NIPS 2006
Temporal Coding using the Response Properties of Spiking Neurons NIPS 2006
Learning Dense 3D Correspondence NIPS 2006
A Kernel Subspace Method by Stochastic Realization for Learning Nonlinear Dynamical Systems NIPS 2006
Information Bottleneck for Non Co-Occurrence Data NIPS 2006
Information Bottleneck for Gaussian Variables JMLR 2005
Learning Hidden Variable Networks: The Information Bottleneck Approach JMLR 2005
Learning to Construct Fast Signal Processing Implementations JMLR 2002