Spectrum Extraction and Clipping for Implicitly Linear Layers

Spectrum Extraction and Clipping for Implicitly Linear Layers

25 February 2024

Matus Telgarsky

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Papers citing "Spectrum Extraction and Clipping for Implicitly Linear Layers"

17 / 17 papers shown

Title
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 90 0 0 02 Mar 2025
On the Surprising Effectiveness of Spectrum Clipping in Learning Stable Linear Dynamics Hanyao Guo Yunhai Han Harish Ravichandar 130 0 0 02 Dec 2024
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman J. Zico Kolter 69 115 0 14 Apr 2021
Revisiting Batch Normalization for Improving Corruption Robustness Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon 95 83 0 07 Oct 2020
Batch Normalization is a Cause of Adversarial Vulnerability A. Galloway A. Golubeva T. Tanay M. Moussa Graham W. Taylor ODL AAML 68 80 0 06 May 2019
Sorting out Lipschitz function approximation Cem Anil James Lucas Roger C. Grosse 90 325 0 13 Nov 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 88 531 0 28 May 2018
The Singular Values of Convolutional Layers Hanie Sedghi Vineet Gupta Philip M. Long FAtt 91 203 0 26 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 172 481 0 12 Apr 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 83 468 0 31 Jan 2018
Deep Layer Aggregation Feng Yu Dequan Wang Evan Shelhamer Trevor Darrell AI4CE FAtt 155 1,332 0 20 Jul 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 210 1,225 0 26 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,138 0 19 Jun 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 148 808 0 28 Apr 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 284 14,963 1 21 Dec 2013

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