Deep Learning

Regularized Policy Iteration NeurIPS 2008 Robust Near-Isometric Matching via Structured Learning of Graphical Models NeurIPS 2008 Scalable Algorithms for String Kernels with Inexact Matching NeurIPS 2008 Self-organization using synaptic plasticity NeurIPS 2008 Short-Term Depression in VLSI Stochastic Synapse NeurIPS 2008 Sparse Convolved Gaussian Processes for Multi-output Regression NeurIPS 2008 Sparse probabilistic projections NeurIPS 2008 Spectral Hashing NeurIPS 2008 Supervised Dictionary Learning NeurIPS 2008 The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Translated Learning: Transfer Learning across Different Feature Spaces NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Variational Mixture of Gaussian Process Experts NeurIPS 2008 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 A neural network implementing optimal state estimation based on dynamic spike train decoding NeurIPS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 A Risk Minimization Principle for a Class of Parzen Estimators NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Boosting Algorithms for Maximizing the Soft Margin NeurIPS 2007 Boosting the Area under the ROC Curve NeurIPS 2007 Building Blocks for Variational Bayesian Learning of Latent Variable Models JMLR 2007