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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

Kernel Mean Estimation and Stein Effect ICML 2014
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball ICML 2014
Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning ICML 2014
On Modelling Non-linear Topical Dependencies ICML 2014
A Deep and Tractable Density Estimator ICML 2014
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014
Discriminative Features via Generalized Eigenvectors ICML 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction ICML 2014
An Information Geometry of Statistical Manifold Learning ICML 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014
Rank-One Matrix Pursuit for Matrix Completion ICML 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014
Linear and Parallel Learning of Markov Random Fields ICML 2014
Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014
Two-Stage Metric Learning ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Sparse Reinforcement Learning via Convex Optimization ICML 2014
Optimization Equivalence of Divergences Improves Neighbor Embedding ICML 2014
Latent Semantic Representation Learning for Scene Classification ICML 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
K-means recovers ICA filters when independent components are sparse ICML 2014