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Representation Learning

18863 directly classified papers

Papers per year

Papers

Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013
Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013
Training Energy-Based Models for Time-Series Imputation JMLR 2013
Regularization-Free Principal Curve Estimation JMLR 2013
Large-scale SVD and Manifold Learning JMLR 2013
Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models ICML 2013
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation ICML 2013
Exact Rule Learning via Boolean Compressed Sensing ICML 2013
Scale Invariant Conditional Dependence Measures ICML 2013
Learning the Structure of Sum-Product Networks ICML 2013
Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013
Multilinear Multitask Learning ICML 2013
Robust and Discriminative Self-Taught Learning ICML 2013
Learning Fair Representations ICML 2013
Characterizing the Representer Theorem ICML 2013
Vanishing Component Analysis ICML 2013
Image Co-segmentation via Consistent Functional Maps ICCV 2013
A Unified Robust Regression Model for Lasso-like Algorithms ICML 2013
Excess risk bounds for multitask learning with trace norm regularization COLT 2013
Sparse Uncorrelated Linear Discriminant Analysis ICML 2013
Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013
Principal Component Analysis on non-Gaussian Dependent Data ICML 2013
Adaptive Sparsity in Gaussian Graphical Models ICML 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013
A unifying framework for vector-valued manifold regularization and multi-view learning ICML 2013