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Neural Networks

11,723 papers

Papers per year

25
148
1385
860
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Papers

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism NIPS 2019
Learning Stable Deep Dynamics Models NIPS 2019
Beyond the Single Neuron Convex Barrier for Neural Network Certification NIPS 2019
Adversarial Robustness through Local Linearization NIPS 2019
On the Convergence Rate of Training Recurrent Neural Networks NIPS 2019
In-Place Zero-Space Memory Protection for CNN NIPS 2019
Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias NIPS 2019
Implicit Semantic Data Augmentation for Deep Networks NIPS 2019
Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks NIPS 2019
Deep Multi-State Dynamic Recurrent Neural Networks Operating on Wavelet Based Neural Features for Robust Brain Machine Interfaces NIPS 2019
Cascaded Dilated Dense Network with Two-step Data Consistency for MRI Reconstruction NIPS 2019
Neural networks grown and self-organized by noise NIPS 2019
Gradient Dynamics of Shallow Univariate ReLU Networks NIPS 2019
Chirality Nets for Human Pose Regression NIPS 2019
Augmented Neural ODEs NIPS 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NIPS 2019
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective NIPS 2019
Hamiltonian Neural Networks NIPS 2019
Unconstrained Monotonic Neural Networks NIPS 2019
Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations. NIPS 2019
Convolution with even-sized kernels and symmetric padding NIPS 2019
Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks NIPS 2019
On Mixup Training: Improved Calibration and Predictive Uncertainty for Deep Neural Networks NIPS 2019
Universal Approximation of Input-Output Maps by Temporal Convolutional Nets NIPS 2019