Deep Learning

A biologically plausible network for the computation of orientation dominance NeurIPS 2010 Active Learning Applied to Patient-Adaptive Heartbeat Classification NeurIPS 2010 A Dirty Model for Multi-task Learning NeurIPS 2010 A Family of Penalty Functions for Structured Sparsity NeurIPS 2010 A Log-Domain Implementation of the Diffusion Network in Very Large Scale Integration NeurIPS 2010 An analysis on negative curvature induced by singularity in multi-layer neural-network learning NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 Attractor Dynamics with Synaptic Depression NeurIPS 2010 Avoiding False Positive in Multi-Instance Learning NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities NeurIPS 2010 Boosting Classifier Cascades NeurIPS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 Deciphering subsampled data: adaptive compressive sampling as a principle of brain communication NeurIPS 2010 Deep Coding Network NeurIPS 2010 Deterministic Single-Pass Algorithm for LDA NeurIPS 2010 Divisive Normalization: Justification and Effectiveness as Efficient Coding Transform NeurIPS 2010 Efficient Learning of Deep Boltzmann Machines AISTATS 2010 Empirical Risk Minimization with Approximations of Probabilistic Grammars NeurIPS 2010 Energy Disaggregation via Discriminative Sparse Coding NeurIPS 2010 Evidence-Specific Structures for Rich Tractable CRFs NeurIPS 2010 Expectation Truncation and the Benefits of Preselection In Training Generative Models JMLR 2010 Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach NeurIPS 2010