Deep Learning

Replacing supervised classification learning by Slow Feature Analysis in spiking neural networks NeurIPS 2009 Replicated Softmax: an Undirected Topic Model NeurIPS 2009 Slow, Decorrelated Features for Pretraining Complex Cell-like Networks NeurIPS 2009 Slow Learners are Fast NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 STDP enables spiking neurons to detect hidden causes of their inputs NeurIPS 2009 Structured output regression for detection with partial truncation NeurIPS 2009 The 'tree-dependent components' of natural scenes are edge filters NeurIPS 2009 Unsupervised Detection of Regions of Interest Using Iterative Link Analysis NeurIPS 2009 Unsupervised feature learning for audio classification using convolutional deep belief networks NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 Variational Inference for the Nested Chinese Restaurant Process NeurIPS 2009 Zero-shot Learning with Semantic Output Codes NeurIPS 2009 Adaptive Martingale Boosting NeurIPS 2008 A Massively Parallel Digital Learning Processor NeurIPS 2008 A Scalable Hierarchical Distributed Language Model NeurIPS 2008 A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context NeurIPS 2008 Bio-inspired Real Time Sensory Map Realignment in a Robotic Barn Owl NeurIPS 2008 Cell Assemblies in Large Sparse Inhibitory Networks of Biologically Realistic Spiking Neurons NeurIPS 2008 Deep Learning with Kernel Regularization for Visual Recognition NeurIPS 2008 Dependence of Orientation Tuning on Recurrent Excitation and Inhibition in a Network Model of V1 NeurIPS 2008 Diffeomorphic Dimensionality Reduction NeurIPS 2008 Differentiable Sparse Coding NeurIPS 2008 Dimensionality Reduction for Data in Multiple Feature Representations NeurIPS 2008 DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification NeurIPS 2008