Deep Learning

Domain Adaptation with Multiple Sources NeurIPS 2008 Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance NeurIPS 2008 Evaluating probabilities under high-dimensional latent variable models NeurIPS 2008 Gates NeurIPS 2008 Generative versus discriminative training of RBMs for classification of fMRI images NeurIPS 2008 Hebbian Learning of Bayes Optimal Decisions NeurIPS 2008 High-dimensional support union recovery in multivariate regression NeurIPS 2008 Implicit Mixtures of Restricted Boltzmann Machines NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Learning Transformational Invariants from Natural Movies NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Manifold Learning: The Price of Normalization JMLR 2008 Maximal Causes for Non-linear Component Extraction JMLR 2008 Multi-stage Convex Relaxation for Learning with Sparse Regularization NeurIPS 2008 Natural Image Denoising with Convolutional Networks NeurIPS 2008 Nonparametric regression and classification with joint sparsity constraints NeurIPS 2008 Offline Handwriting Recognition with Multidimensional Recurrent Neural Networks NeurIPS 2008 On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing NeurIPS 2008 On the asymptotic equivalence between differential Hebbian and temporal difference learning using a local third factor NeurIPS 2008 On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NeurIPS 2008 Privacy-preserving logistic regression NeurIPS 2008 PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning NeurIPS 2008 QUIC-SVD: Fast SVD Using Cosine Trees NeurIPS 2008 Regularized Learning with Networks of Features NeurIPS 2008