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Unsupervised Learning

4596 directly classified papers

Papers per year

Papers

Discriminative K-means for Clustering NIPS 2007
Learning Horizontal Connections in a Sparse Coding Model of Natural Images NIPS 2007
The Infinite Gamma-Poisson Feature Model NIPS 2007
An online Hebbian learning rule that performs Independent Component Analysis NIPS 2007
Cluster Stability for Finite Samples NIPS 2007
Sparse Overcomplete Latent Variable Decomposition of Counts Data NIPS 2007
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting NIPS 2007
Sparse Feature Learning for Deep Belief Networks NIPS 2007
Density Estimation under Independent Similarly Distributed Sampling Assumptions NIPS 2007
Non-parametric Modeling of Partially Ranked Data NIPS 2007
Unsupervised Feature Selection for Accurate Recommendation of High-Dimensional Image Data NIPS 2007
Nearest-Neighbor-Based Active Learning for Rare Category Detection NIPS 2007
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Learning to be Bayesian without Supervision NIPS 2006
PG-means: learning the number of clusters in data NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006
Generalized Maximum Margin Clustering and Unsupervised Kernel Learning NIPS 2006
Modeling General and Specific Aspects of Documents with a Probabilistic Topic Model NIPS 2006
Unsupervised Learning of a Probabilistic Grammar for Object Detection and Parsing NIPS 2006
Learning annotated hierarchies from relational data NIPS 2006
Greedy Layer-Wise Training of Deep Networks NIPS 2006
Hidden Markov Dirichlet Process: Modeling Genetic Recombination in Open Ancestral Space NIPS 2006
Manifold Denoising NIPS 2006
Emergence of conjunctive visual features by quadratic independent component analysis NIPS 2006
Efficient sparse coding algorithms NIPS 2006