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Representation Learning

4,925 papers

Papers per year

7
51
606
487
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Papers

Deep Coding Network NIPS 2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata NIPS 2010
Kernel Descriptors for Visual Recognition NIPS 2010
Layer-wise analysis of deep networks with Gaussian kernels NIPS 2010
Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NIPS 2010
Inductive Principles for Restricted Boltzmann Machine Learning AISTATS 2010
Efficient Match Kernel between Sets of Features for Visual Recognition NIPS 2009
Polynomial Semantic Indexing NIPS 2009
Differentiable Sparse Coding NIPS 2008
Learning Transformational Invariants from Natural Movies NIPS 2008
The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NIPS 2008
Dimensionality Reduction for Data in Multiple Feature Representations NIPS 2008
On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NIPS 2008
Supervised Dictionary Learning NIPS 2008
Using matrices to model symbolic relationship NIPS 2008
Spectral Hashing NIPS 2008
Sparse Feature Learning for Deep Belief Networks NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
Efficient sparse coding algorithms NIPS 2006
Non-rigid point set registration: Coherent Point Drift NIPS 2006
Greedy Layer-Wise Training of Deep Networks NIPS 2006
Efficient Learning of Sparse Representations with an Energy-Based Model NIPS 2006
Similarity by Composition NIPS 2006
Learning on Graph with Laplacian Regularization NIPS 2006
Learning Dense 3D Correspondence NIPS 2006