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Neural Networks

11,300 papers

Papers per year

Papers

Neural Arithmetic Logic Units NIPS 2018
Which Neural Net Architectures Give Rise to Exploding and Vanishing Gradients? NIPS 2018
Recurrently Controlled Recurrent Networks NIPS 2018
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks NIPS 2018
Structure-Aware Convolutional Neural Networks NIPS 2018
Gradient Descent for Spiking Neural Networks NIPS 2018
Learning filter widths of spectral decompositions with wavelets NIPS 2018
Deep Predictive Coding Network with Local Recurrent Processing for Object Recognition NIPS 2018
Dendritic cortical microcircuits approximate the backpropagation algorithm NIPS 2018
Are ResNets Provably Better than Linear Predictors? NIPS 2018
Attention in Convolutional LSTM for Gesture Recognition NIPS 2018
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger NIPS 2018
DeepPINK: reproducible feature selection in deep neural networks NIPS 2018
Modular Networks: Learning to Decompose Neural Computation NIPS 2018
Deepcode: Feedback Codes via Deep Learning NIPS 2018
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming NIPS 2018
Mesh-TensorFlow: Deep Learning for Supercomputers NIPS 2018
The Description Length of Deep Learning models NIPS 2018
Towards Robust Interpretability with Self-Explaining Neural Networks NIPS 2018
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks NIPS 2018
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions NIPS 2018
Reversible Recurrent Neural Networks NIPS 2018
Learning Overparameterized Neural Networks via Stochastic Gradient Descent on Structured Data NIPS 2018
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NIPS 2018
Neural Proximal Gradient Descent for Compressive Imaging NIPS 2018