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Representation Learning

18863 directly classified papers

Papers per year

Papers

Learning Ordered Representations with Nested Dropout ICML 2014
A Deep Semi-NMF Model for Learning Hidden Representations ICML 2014
Structured Recurrent Temporal Restricted Boltzmann Machines ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Randomized Nonlinear Component Analysis ICML 2014
Learning Latent Variable Gaussian Graphical Models ICML 2014
Deep AutoRegressive Networks ICML 2014
Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models ICML 2014
Preserving Modes and Messages via Diverse Particle Selection ICML 2014
Sparse meta-Gaussian information bottleneck ICML 2014
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels ICML 2014
A reversible infinite HMM using normalised random measures ICML 2014
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014
Robust Principal Component Analysis with Complex Noise ICML 2014
An Information Geometry of Statistical Manifold Learning ICML 2014
Provable Bounds for Learning Some Deep Representations ICML 2014
Learning Sum-Product Networks with Direct and Indirect Variable Interactions ICML 2014
Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices ICML 2014
Two-Stage Metric Learning ICML 2014
Multi-label Classification via Feature-aware Implicit Label Space Encoding ICML 2014
New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014
Learning Sparsely Used Overcomplete Dictionaries COLT 2014
Kernel Mean Estimation and Stein Effect ICML 2014