Representation Learning

The Infinite Factorial Hidden Markov Model NeurIPS 2008 Theory of matching pursuit NeurIPS 2008 The Recurrent Temporal Restricted Boltzmann Machine NeurIPS 2008 Tracking Changing Stimuli in Continuous Attractor Neural Networks NeurIPS 2008 Unifying the Sensory and Motor Components of Sensorimotor Adaptation NeurIPS 2008 Universal Multi-Task Kernels JMLR 2008 Unsupervised Learning of Visual Sense Models for Polysemous Words NeurIPS 2008 Using Bayesian Dynamical Systems for Motion Template Libraries NeurIPS 2008 Using matrices to model symbolic relationship NeurIPS 2008 Visualizing Data using t-SNE JMLR 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 Agreement-Based Learning NeurIPS 2007 A Kernel Statistical Test of Independence NeurIPS 2007 A learning framework for nearest neighbor search NeurIPS 2007 An Analysis of Inference with the Universum NeurIPS 2007 An in-silico Neural Model of Dynamic Routing through Neuronal Coherence NeurIPS 2007 An online Hebbian learning rule that performs Independent Component Analysis NeurIPS 2007 A Spectral Regularization Framework for Multi-Task Structure Learning NeurIPS 2007 Bilinear Discriminant Component Analysis JMLR 2007 Blind channel identification for speech dereverberation using l1-norm sparse learning NeurIPS 2007 Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Collective Inference on Markov Models for Modeling Bird Migration NeurIPS 2007 Colored Maximum Variance Unfolding NeurIPS 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time JMLR 2007