Controlling the Complexity and Lipschitz Constant improves polynomial nets

10 February 2022

Papers citing "Controlling the Complexity and Lipschitz Constant improves polynomial nets"

8 / 8 papers shown

Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Regularization of polynomial networks for image recognition Grigorios G. Chrysos Bohan Wang Jiankang Deng V. Cevher 36 11 0 24 Mar 2023
Extrapolation and Spectral Bias of Neural Nets with Hadamard Product: a Polynomial Net Study Yongtao Wu Zhenyu Zhu Fanghui Liu Grigorios G. Chrysos V. Cevher 28 10 0 16 Sep 2022
Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora Mehmet Fatih Şahin Fanghui Liu Grigorios G. Chrysos V. Cevher 23 5 0 15 Sep 2022
On the Study of Sample Complexity for Polynomial Neural Networks Chao Pan Chuanyi Zhang CVBM 26 1 0 18 Jul 2022
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 30 21 0 11 Apr 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 297 10,368 0 12 Dec 2018
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 127 577 0 27 Feb 2015