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Representation Learning

20,822 papers

Papers per year

2
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101
309
2011
2283
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Papers

Pointer Networks NIPS 2015
Sparse PCA via Bipartite Matchings NIPS 2015
Natural Neural Networks NIPS 2015
Analysis of Robust PCA via Local Incoherence NIPS 2015
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture NIPS 2015
Compressive spectral embedding: sidestepping the SVD NIPS 2015
Winner-Take-All Autoencoders NIPS 2015
Sparse and Low-Rank Tensor Decomposition NIPS 2015
Learning with Group Invariant Features: A Kernel Perspective. NIPS 2015
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NIPS 2015
Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NIPS 2015
Space-Time Local Embeddings NIPS 2015
Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction NIPS 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NIPS 2015
A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NIPS 2015
Learning Structured Output Representation using Deep Conditional Generative Models NIPS 2015
Approximating Sparse PCA from Incomplete Data NIPS 2015
End-To-End Memory Networks NIPS 2015
High-dimensional neural spike train analysis with generalized count linear dynamical systems NIPS 2015
Supervised Learning for Dynamical System Learning NIPS 2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images NIPS 2015
Saliency, Scale and Information: Towards a Unifying Theory NIPS 2015
A Recurrent Latent Variable Model for Sequential Data NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Robust PCA with compressed data NIPS 2015