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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Optimal Neural Population Codes for High-dimensional Stimulus Variables NIPS 2013
Near-Optimal Entrywise Sampling for Data Matrices NIPS 2013
What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NIPS 2013
Supervised Sparse Analysis and Synthesis Operators NIPS 2013
Memory Limited, Streaming PCA NIPS 2013
Σ-Optimality for Active Learning on Gaussian Random Fields NIPS 2013
Pass-efficient unsupervised feature selection NIPS 2013
On the Representational Efficiency of Restricted Boltzmann Machines NIPS 2013
Least Informative Dimensions NIPS 2013
A memory frontier for complex synapses NIPS 2013
Learning Stochastic Inverses NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NIPS 2013
Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
Correlated random features for fast semi-supervised learning NIPS 2013
Analyzing the Harmonic Structure in Graph-Based Learning NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Similarity Component Analysis NIPS 2013
A Deep Architecture for Matching Short Texts NIPS 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
Multilinear Dynamical Systems for Tensor Time Series NIPS 2013
Latent Maximum Margin Clustering NIPS 2013
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream NIPS 2013