Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks

11 April 2021

Papers citing "Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks"

6 / 6 papers shown

Title
Weak Limits for Empirical Entropic Optimal Transport: Beyond Smooth Costs Alberto González Sanz Shayan Hundrieser OT 18 9 0 16 May 2023
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks E. M. Achour Franccois Malgouyres Franck Mamalet 8 20 0 12 Aug 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 30 54 0 05 Aug 2021
Bridging the Gap Between Adversarial Robustness and Optimization Bias Fartash Faghri Sven Gowal C. N. Vasconcelos David J. Fleet Fabian Pedregosa Nicolas Le Roux AAML 187 7 0 17 Feb 2021
Fast and accurate optimization on the orthogonal manifold without retraction Pierre Ablin Gabriel Peyré 49 26 0 15 Feb 2021
Learning Unitary Operators with Help From u(n) Stephanie L. Hyland Gunnar Rätsch 89 41 0 17 Jul 2016