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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Online Feature Selection for Model-based Reinforcement Learning ICML 2013
Better Mixing via Deep Representations ICML 2013
Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 2013
Characterizing the Representer Theorem ICML 2013
Vanishing Component Analysis ICML 2013
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities ICML 2013
Forecastable Component Analysis ICML 2013
Local Low-Rank Matrix Approximation ICML 2013
A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013
Gated Autoencoders with Tied Input Weights ICML 2013
Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines ICML 2013
Modeling Musical Influence with Topic Models ICML 2013
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment ICML 2013
Sparse coding for multitask and transfer learning ICML 2013
MILEAGE: Multiple Instance LEArning with Global Embedding ICML 2013
Learning invariant features by harnessing the aperture problem ICML 2013
Tensor Analyzers ICML 2013
Learning from Human-Generated Lists ICML 2013
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation ICML 2013
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations ICML 2013
Robust and Discriminative Self-Taught Learning ICML 2013
Unfolding Latent Tree Structures using 4th Order Tensors ICML 2013
Learning Fair Representations ICML 2013
Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation ICML 2013
Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images ICML 2013