A Kernel Perspective for Regularizing Deep Neural Networks

v1v2v3v4 (latest)

A Kernel Perspective for Regularizing Deep Neural Networks

30 September 2018

Grégoire Mialon

ArXiv (abs)PDF HTML

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

5 / 5 papers shown

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

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.