Self-Supervised Learning

On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient NeurIPS 2010 On Herding and the Perceptron Cycling Theorem NeurIPS 2010 Parametric Herding AISTATS 2010 Self-Paced Learning for Latent Variable Models NeurIPS 2010 Spike timing-dependent plasticity as dynamic filter NeurIPS 2010 Towards Understanding Situated Natural Language AISTATS 2010 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 Differential Use of Implicit Negative Evidence in Generative and Discriminative Language Learning NeurIPS 2009 Efficient Learning using Forward-Backward Splitting NeurIPS 2009 Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning NeurIPS 2009 No evidence for active sparsification in the visual cortex NeurIPS 2009 Particle-based Variational Inference for Continuous Systems NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Artificial Olfactory Brain for Mixture Identification NeurIPS 2008 Correlated Bigram LSA for Unsupervised Language Model Adaptation NeurIPS 2008 Dynamic visual attention: searching for coding length increments NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 Policy Search for Motor Primitives in Robotics NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Self-organization using synaptic plasticity NeurIPS 2008 Spike Feature Extraction Using Informative Samples NeurIPS 2008 Visualizing Data using t-SNE JMLR 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007