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feature learning

1309 papers

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Co-occurring keywords

representation learning (6174) convolutional neural network (4216) neural network (6616) image classification (1943) unsupervised learning (3255) domain adaptation (4578) object detection (2759) transfer learning (5442) self-supervised learning (3751) deep learning (2111)

Papers

Dimensionality Reduction Using the Sparse Linear Model NIPS 2011
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates JMLR 2011
On the Analysis of Multi-Channel Neural Spike Data NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
Domain Adaptation with Coupled Subspaces AISTATS 2011
An Analysis of Single-Layer Networks in Unsupervised Feature Learning AISTATS 2011
Two-Layer Multiple Kernel Learning AISTATS 2011
Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images AISTATS 2010
Learning Convolutional Feature Hierarchies for Visual Recognition NIPS 2010
Learning Multiple Tasks using Manifold Regularization NIPS 2010
Learning Efficient Markov Networks NIPS 2010
Joint Cascade Optimization Using A Product Of Boosted Classifiers NIPS 2010
Energy Disaggregation via Discriminative Sparse Coding NIPS 2010
A Dirty Model for Multi-task Learning NIPS 2010
Tiled convolutional neural networks NIPS 2010
On Herding and the Perceptron Cycling Theorem NIPS 2010
Deep Coding Network NIPS 2010
Why Does Unsupervised Pre-training Help Deep Learning? AISTATS 2010
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion JMLR 2010
Learning invariant features using the Transformed Indian Buffet Process NIPS 2010
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Unsupervised feature learning for audio classification using convolutional deep belief networks NIPS 2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
Probabilistic Relational PCA NIPS 2009
Diffeomorphic Dimensionality Reduction NIPS 2008