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Feature Learning

817 directly classified papers

Papers per year

Papers

Key Instance Detection in Multi-Instance Learning ACML 2012
Selective Labeling via Error Bound Minimization NIPS 2012
Nonparametric Estimation of Conditional Information and Divergences AISTATS 2012
Random Feature Maps for Dot Product Kernels AISTATS 2012
Synchronization can Control Regularization in Neural Systems via Correlated Noise Processes NIPS 2012
Semantic Kernel Forests from Multiple Taxonomies NIPS 2012
Local Supervised Learning through Space Partitioning NIPS 2012
Multi-task Vector Field Learning NIPS 2012
Cardinality Restricted Boltzmann Machines NIPS 2012
Automatic Feature Induction for Stagewise Collaborative Filtering NIPS 2012
Gradient-based kernel method for feature extraction and variable selection NIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity NIPS 2012
Multi-label Subspace Ensemble AISTATS 2012
Learning Fourier Sparse Set Functions AISTATS 2012
Simultaneously Leveraging Output and Task Structures for Multiple-Output Regression NIPS 2012
Non-linear Metric Learning NIPS 2012
Gradient Weights help Nonparametric Regressors NIPS 2012
Discriminatively Trained Sparse Code Gradients for Contour Detection NIPS 2012
Learning Temporal Association Rules on Symbolic Time Sequences ACML 2012
Spatial Locality-Aware Sparse Coding and Dictionary Learning ACML 2012
Efficient high dimensional maximum entropy modeling via symmetric partition functions NIPS 2012
Learning Image Descriptors with the Boosting-Trick NIPS 2012
A lattice filter model of the visual pathway NIPS 2012
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011