neural network

The Loss Surfaces of Multilayer Networks AISTATS 2015 Trust Region Policy Optimization ICML 2015 A Deep and Tractable Density Estimator ICML 2014 A framework for studying synaptic plasticity with neural spike train data NeurIPS 2014 A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System NeurIPS 2014 Attentional Neural Network: Feature Selection Using Cognitive Feedback NeurIPS 2014 Avoiding pathologies in very deep networks AISTATS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 DeepReID: Deep Filter Pairing Neural Network for Person Re-Identification CVPR 2014 Do Deep Nets Really Need to be Deep? NeurIPS 2014 Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? JMLR 2014 Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets ICML 2014 Expectation Propagation for Neural Networks with Sparsity-Promoting Priors JMLR 2014 Fast Sampling-Based Inference in Balanced Neuronal Networks NeurIPS 2014 General Stochastic Networks for Classification NeurIPS 2014 Generative Adversarial Nets NeurIPS 2014 How transferable are features in deep neural networks? NeurIPS 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014 Learning Character-level Representations for Part-of-Speech Tagging ICML 2014 Learning Polynomials with Neural Networks ICML 2014 Learning to Discover Efficient Mathematical Identities NeurIPS 2014 Provable Bounds for Learning Some Deep Representations ICML 2014 Searching for Higgs Boson Decay Modes with Deep Learning NeurIPS 2014 Sensory Integration and Density Estimation NeurIPS 2014