A Kernel Perspective for Regularizing Deep Neural Networks

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A Kernel Perspective for Regularizing Deep Neural Networks

30 September 2018

Grégoire Mialon

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Papers citing "A Kernel Perspective for Regularizing Deep Neural Networks"

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Title
A Fast and Efficient Conditional Learning for Tunable Trade-Off between Accuracy and Robustness Souvik Kundu Sairam Sundaresan Massoud Pedram Peter A. Beerel AAML 54 1 0 28 Mar 2022
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution Yunshi Huang Émilie Chouzenoux J. Pesquet BDL 86 12 0 14 Oct 2021
On Robustness to Adversarial Examples and Polynomial Optimization Pranjal Awasthi Abhratanu Dutta Aravindan Vijayaraghavan OOD AAML 78 32 0 12 Nov 2019
Adversarial Training is a Form of Data-dependent Operator Norm Regularization Kevin Roth Yannic Kilcher Thomas Hofmann 58 13 0 04 Jun 2019
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 72 292 0 22 Nov 2018