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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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Papers

Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics MLHC 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks MLHC 2016
Associative Memory via a Sparse Recovery Model NIPS 2015
Statistical Model Criticism using Kernel Two Sample Tests NIPS 2015
Backpropagation for Energy-Efficient Neuromorphic Computing NIPS 2015
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy NIPS 2015
Training Very Deep Networks NIPS 2015
Character-level Convolutional Networks for Text Classification NIPS 2015
Interactive Control of Diverse Complex Characters with Neural Networks NIPS 2015
Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets NIPS 2015
Pointer Networks NIPS 2015
Semi-supervised Learning with Ladder Networks NIPS 2015
Enforcing balance allows local supervised learning in spiking recurrent networks NIPS 2015
Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction NIPS 2015
Spectral Representations for Convolutional Neural Networks NIPS 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NIPS 2015
End-To-End Memory Networks NIPS 2015
Deep Temporal Sigmoid Belief Networks for Sequence Modeling NIPS 2015
Neural Adaptive Sequential Monte Carlo NIPS 2015
Hessian-free Optimization for Learning Deep Multidimensional Recurrent Neural Networks NIPS 2015
Teaching Machines to Read and Comprehend NIPS 2015
Synaptic Sampling: A Bayesian Approach to Neural Network Plasticity and Rewiring NIPS 2015
Learning to Transduce with Unbounded Memory NIPS 2015
Deep Knowledge Tracing NIPS 2015
Bidirectional Recurrent Neural Networks as Generative Models NIPS 2015