Deep Learning

Classification via Minimum Incremental Coding Length (MICL) NeurIPS 2007 Collapsed Variational Inference for HDP NeurIPS 2007 Combined discriminative and generative articulated pose and non-rigid shape estimation NeurIPS 2007 Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons NeurIPS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation NeurIPS 2007 Discriminative Batch Mode Active Learning NeurIPS 2007 Discriminative Log-Linear Grammars with Latent Variables NeurIPS 2007 Efficient Inference for Distributions on Permutations NeurIPS 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion NeurIPS 2007 How SVMs can estimate quantiles and the median NeurIPS 2007 Incremental Natural Actor-Critic Algorithms NeurIPS 2007 Kernels on Attributed Pointsets with Applications NeurIPS 2007 Learning Horizontal Connections in a Sparse Coding Model of Natural Images NeurIPS 2007 Learning Monotonic Transformations for Classification NeurIPS 2007 Learning to classify complex patterns using a VLSI network of spiking neurons NeurIPS 2007 Loop Series and Bethe Variational Bounds in Attractive Graphical Models NeurIPS 2007 Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning NeurIPS 2007 Modeling image patches with a directed hierarchy of Markov random fields NeurIPS 2007 Multiple-Instance Pruning For Learning Efficient Cascade Detectors NeurIPS 2007 Near-Maximum Entropy Models for Binary Neural Representations of Natural Images NeurIPS 2007 Neural characterization in partially observed populations of spiking neurons NeurIPS 2007 Random Features for Large-Scale Kernel Machines NeurIPS 2007 Regularized Boost for Semi-Supervised Learning NeurIPS 2007 Scene Segmentation with CRFs Learned from Partially Labeled Images NeurIPS 2007