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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NIPS 2009
Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NIPS 2009
Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NIPS 2009
Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NIPS 2009
The 'tree-dependent components' of natural scenes are edge filters NIPS 2009
Efficient Learning using Forward-Backward Splitting NIPS 2009
Particle-based Variational Inference for Continuous Systems NIPS 2009
STDP enables spiking neurons to detect hidden causes of their inputs NIPS 2009
Self-organization using synaptic plasticity NIPS 2008
Robust Near-Isometric Matching via Structured Learning of Graphical Models NIPS 2008
Hebbian Learning of Bayes Optimal Decisions NIPS 2008
Policy Search for Motor Primitives in Robotics NIPS 2008
Dynamic visual attention: searching for coding length increments NIPS 2008
Artificial Olfactory Brain for Mixture Identification NIPS 2008
Visualizing Data using t-SNE JMLR 2008
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Exponential Family Predictive Representations of State NIPS 2007
Heterogeneous Component Analysis NIPS 2007
Blind channel identification for speech dereverberation using l1-norm sparse learning NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007
A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NIPS 2007
Improving Robot Navigation Through Self-Supervised Online Learning RSS 2006
Bayesian Ensemble Learning NIPS 2006
Efficient sparse coding algorithms NIPS 2006