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Representation Learning

18863 directly classified papers

Papers per year

Papers

What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NIPS 2013
Keep It Simple And Sparse: Real-Time Action Recognition JMLR 2013
Near-Optimal Entrywise Sampling for Data Matrices NIPS 2013
Optimal Neural Population Codes for High-dimensional Stimulus Variables NIPS 2013
Stochastic Optimization of PCA with Capped MSG NIPS 2013
Decision Jungles: Compact and Rich Models for Classification NIPS 2013
Compressive Feature Learning NIPS 2013
Optimally Fuzzy Temporal Memory JMLR 2013
Low-rank matrix reconstruction and clustering via approximate message passing NIPS 2013
Approximate Inference in Continuous Determinantal Processes NIPS 2013
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Manifold-based Similarity Adaptation for Label Propagation NIPS 2013
Deep Fisher Networks for Large-Scale Image Classification NIPS 2013
Wavelets on Graphs via Deep Learning NIPS 2013
When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NIPS 2013
Learning Multi-level Sparse Representations NIPS 2013
Unsupervised Structure Learning of Stochastic And-Or Grammars NIPS 2013
Matrix factorization with binary components NIPS 2013
Training and Analysing Deep Recurrent Neural Networks NIPS 2013
A Machine Learning Framework for Programming by Example ICML 2013
Modeling Musical Influence with Topic Models ICML 2013
Learning from Human-Generated Lists ICML 2013
Sparse coding for multitask and transfer learning ICML 2013
Linear Sequence Discriminant Analysis: A Model-Based Dimensionality Reduction Method for Vector Sequences ICCV 2013