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Self-Supervised Learning

8,404 papers

Papers per year

12
19
682
1215
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Papers

Efficient Learning using Forward-Backward Splitting NIPS 2009
A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Correlated Bigram LSA for Unsupervised Language Model Adaptation NIPS 2008
Spike Feature Extraction Using Informative Samples NIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models NIPS 2008
Policy Search for Motor Primitives in Robotics NIPS 2008
Artificial Olfactory Brain for Mixture Identification NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Self-organization using synaptic plasticity NIPS 2008
Visualizing Data using t-SNE JMLR 2008
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Sparse deep belief net model for visual area V2 NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Heterogeneous Component Analysis NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Bayesian Ensemble Learning NIPS 2006
Efficient sparse coding algorithms NIPS 2006
Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons NIPS 2006
Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons NIPS 2006