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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Structured Determinantal Point Processes NIPS 2010
b-Bit Minwise Hashing for Estimating Three-Way Similarities NIPS 2010
Sparse Inverse Covariance Selection via Alternating Linearization Methods NIPS 2010
Online Learning in The Manifold of Low-Rank Matrices NIPS 2010
Evidence-Specific Structures for Rich Tractable CRFs NIPS 2010
Beyond Actions: Discriminative Models for Contextual Group Activities NIPS 2010
Phoneme Recognition with Large Hierarchical Reservoirs NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Group Sparse Coding with a Laplacian Scale Mixture Prior NIPS 2010
Fractionally Predictive Spiking Neurons NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Efficient Optimization for Discriminative Latent Class Models NIPS 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm NIPS 2010
Improvements to the Sequence Memoizer NIPS 2010
Generating more realistic images using gated MRF's NIPS 2010
Implicit Differentiation by Perturbation NIPS 2010
The Maximal Causes of Natural Scenes are Edge Filters NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Graph-Valued Regression NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
A Family of Penalty Functions for Structured Sparsity NIPS 2010
Spike timing-dependent plasticity as dynamic filter NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Cross Species Expression Analysis using a Dirichlet Process Mixture Model with Latent Matchings NIPS 2010