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Representation Learning

20,822 papers

Papers per year

2
9
101
309
2011
2283
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Papers

Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data IJCAI 2013
Stress Functions for Nonlinear Dimension Reduction, Proximity Analysis, and Graph Drawing JMLR 2013
Regularization-Free Principal Curve Estimation JMLR 2013
Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013
Training Energy-Based Models for Time-Series Imputation JMLR 2013
On the Convergence of Maximum Variance Unfolding JMLR 2013
Construction of Approximation Spaces for Reinforcement Learning JMLR 2013
Tapkee: An Efficient Dimension Reduction Library JMLR 2013
Distance Preserving Embeddings for General n-Dimensional Manifolds JMLR 2013
Keep It Simple And Sparse: Real-Time Action Recognition JMLR 2013
Optimally Fuzzy Temporal Memory JMLR 2013
A Near-Optimal Algorithm for Differentially-Private Principal Components JMLR 2013
Parallel Vector Field Embedding JMLR 2013
Multi-Stage Multi-Task Feature Learning JMLR 2013
Large-scale SVD and Manifold Learning JMLR 2013
Divvy: Fast and Intuitive Exploratory Data Analysis JMLR 2013
A Max-Norm Constrained Minimization Approach to 1-Bit Matrix Completion JMLR 2013
How to Solve Classification and Regression Problems on High-Dimensional Data with a Supervised Extension of Slow Feature Analysis JMLR 2013
Maximum Mean Discrepancy Imitation Learning RSS 2013
Topology Constraints in Graphical Models NIPS 2012
Optimal Neural Tuning Curves for Arbitrary Stimulus Distributions: Discrimax, Infomax and Minimum $L_p$ Loss NIPS 2012
Bayesian nonparametric models for bipartite graphs NIPS 2012
Factoring nonnegative matrices with linear programs NIPS 2012
Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012