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Representation Learning

2843 directly classified papers

Papers per year

Papers

Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014
New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014
General Stochastic Networks for Classification NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Dynamic Rank Factor Model for Text Streams NIPS 2014
Magnitude-sensitive preference formation` NIPS 2014
Causal Inference through a Witness Protection Program NIPS 2014
Feedforward Learning of Mixture Models NIPS 2014
Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NIPS 2014
Metric Learning for Temporal Sequence Alignment NIPS 2014
Projective dictionary pair learning for pattern classification NIPS 2014
Spectral k-Support Norm Regularization NIPS 2014
Deep Fisher Kernels - End to End Learning of the Fisher Kernel GMM Parameters CVPR 2014
Robust Subspace Segmentation with Block-diagonal Prior CVPR 2014
Cross-Scale Cost Aggregation for Stereo Matching CVPR 2014
Smooth Representation Clustering CVPR 2014
Dimensionality Reduction with Subspace Structure Preservation NIPS 2014
The Noisy Power Method: A Meta Algorithm with Applications NIPS 2014
Scalable Non-linear Learning with Adaptive Polynomial Expansions NIPS 2014
On the relations of LFPs & Neural Spike Trains NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
Inferring Unseen Views of People CVPR 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Learning Euclidean-to-Riemannian Metric for Point-to-Set Classification CVPR 2014
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013