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Representation Learning

20,812 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Receptive Fields without Spike-Triggering NIPS 2007
New Outer Bounds on the Marginal Polytope NIPS 2007
Classification via Minimum Incremental Coding Length (MICL) NIPS 2007
Kernel Measures of Conditional Dependence NIPS 2007
SpAM: Sparse Additive Models NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
Colored Maximum Variance Unfolding NIPS 2007
People Tracking with the Laplacian Eigenmaps Latent Variable Model NIPS 2007
Collective Inference on Markov Models for Modeling Bird Migration NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs NIPS 2007
Learning with Tree-Averaged Densities and Distributions NIPS 2007
Modeling homophily and stochastic equivalence in symmetric relational data NIPS 2007
Learning the 2-D Topology of Images NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Locality and low-dimensions in the prediction of natural experience from fMRI NIPS 2007
GRIFT: A graphical model for inferring visual classification features from human data NIPS 2007
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Modeling image patches with a directed hierarchy of Markov random fields NIPS 2007
Cooled and Relaxed Survey Propagation for MRFs NIPS 2007
A Spectral Regularization Framework for Multi-Task Structure Learning NIPS 2007
HM-BiTAM: Bilingual Topic Exploration, Word Alignment, and Translation NIPS 2007
Learning the structure of manifolds using random projections NIPS 2007
Semi-Supervised Multitask Learning NIPS 2007