Adversarial Noise Layer: Regularize Neural Network By Adding Noise

21 May 2018

Papers citing "Adversarial Noise Layer: Regularize Neural Network By Adding Noise"

10 / 10 papers shown

Title
CNN-based real-time 2D-3D deformable registration from a single X-ray projection Francois Lecomte J. Dillenseger S. Cotin 16 1 0 15 Dec 2022
Noise Injection Node Regularization for Robust Learning N. Levi I. Bloch M. Freytsis T. Volansky AI4CE 25 2 0 27 Oct 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 32 2 0 12 Jun 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 49 71 0 26 Mar 2022
A Kernel-Expanded Stochastic Neural Network Y. Sun F. Liang 20 5 0 14 Jan 2022
Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge Yong Dai Jian-Dong Liu Jian Zhang H. Fu Zenglin Xu 27 12 0 09 May 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 29 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 26 79 0 17 Sep 2020
Mean-Field and Kinetic Descriptions of Neural Differential Equations Michael Herty T. Trimborn G. Visconti 28 6 0 07 Jan 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016