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Deep Learning

1397 directly classified papers

Papers per year

Papers

Deep Spatio-Temporal Architectures and Learning for Protein Structure Prediction NIPS 2012
Nonlinear low-dimensional regression using auxiliary coordinates AISTATS 2012
A Generative Model for Parts-based Object Segmentation NIPS 2012
Large Scale Distributed Deep Networks NIPS 2012
Discriminative Learning of Sum-Product Networks NIPS 2012
Efficient and direct estimation of a neural subunit model for sensory coding NIPS 2012
Causal discovery with scale-mixture model for spatiotemporal variance dependencies NIPS 2012
In All Likelihood, Deep Belief Is Not Enough JMLR 2011
A Brain-Machine Interface Operating with a Real-Time Spiking Neural Network Control Algorithm NIPS 2011
Large-Scale Category Structure Aware Image Categorization NIPS 2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection NIPS 2011
TD_gamma: Re-evaluating Complex Backups in Temporal Difference Learning NIPS 2011
Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NIPS 2008
Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NIPS 2008
Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NIPS 2008
Minimax Regret Classifier for Imprecise Class Distributions JMLR 2007
Regulator Discovery from Gene Expression Time Series of Malaria Parasites: a Hierachical Approach NIPS 2007
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NIPS 2007
Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks NIPS 2007
Greedy Layer-Wise Training of Deep Networks NIPS 2006
Nonlinear physically-based models for decoding motor-cortical population activity NIPS 2006
Temporal dynamics of information content carried by neurons in the primary visual cortex NIPS 2006