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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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Papers

Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification NIPS 2017
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions NIPS 2017
Dilated Recurrent Neural Networks NIPS 2017
The Expressive Power of Neural Networks: A View from the Width NIPS 2017
A Probabilistic Framework for Nonlinearities in Stochastic Neural Networks NIPS 2017
Invariance and Stability of Deep Convolutional Representations NIPS 2017
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Cortical microcircuits as gated-recurrent neural networks NIPS 2017
Deep Hyperspherical Learning NIPS 2017
Poincaré Embeddings for Learning Hierarchical Representations NIPS 2017
Self-Normalizing Neural Networks NIPS 2017
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NIPS 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process NIPS 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NIPS 2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks NIPS 2017
Learning Hierarchical Information Flow with Recurrent Neural Modules NIPS 2017
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning NIPS 2017
Mean Field Residual Networks: On the Edge of Chaos NIPS 2017
Hiding Images in Plain Sight: Deep Steganography NIPS 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery NIPS 2017
Deep Learning with Topological Signatures NIPS 2017
Neural system identification for large populations separating “what” and “where” NIPS 2017
Visual Interaction Networks: Learning a Physics Simulator from Video NIPS 2017
Z-Forcing: Training Stochastic Recurrent Networks NIPS 2017