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Feature Learning

860 papers

Papers per year

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Papers

Discriminative Features via Generalized Eigenvectors ICML 2014
Compact Random Feature Maps ICML 2014
Nearest Neighbors Using Compact Sparse Codes ICML 2014
Random Intersection Trees JMLR 2014
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013
Extracting regions of interest from biological images with convolutional sparse block coding NIPS 2013
Sign Cauchy Projections and Chi-Square Kernel NIPS 2013
Contrastive Learning Using Spectral Methods NIPS 2013
Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NIPS 2013
Compressive Feature Learning NIPS 2013
Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs NIPS 2013
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces NIPS 2013
Multiscale Dictionary Learning for Estimating Conditional Distributions NIPS 2013
Dirty Statistical Models NIPS 2013
Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space NIPS 2013
Spectral methods for neural characterization using generalized quadratic models NIPS 2013
Learning invariant representations and applications to face verification NIPS 2013
Learning Adaptive Value of Information for Structured Prediction NIPS 2013
Predictive Correlation Screening: Application to Two-stage Predictor Design in High Dimension AISTATS 2013
Blind Signal Separation in the Presence of Gaussian Noise COLT 2013
Learning a set of directions COLT 2013
Multipath Sparse Coding Using Hierarchical Matching Pursuit CVPR 2013
Dictionary Learning from Ambiguously Labeled Data CVPR 2013
Block and Group Regularized Sparse Modeling for Dictionary Learning CVPR 2013
Exploring Implicit Image Statistics for Visual Representativeness Modeling CVPR 2013