The instabilities of large learning rate training: a loss landscape view

22 July 2023

Papers citing "The instabilities of large learning rate training: a loss landscape view"

4 / 4 papers shown

Title
Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes Nikita Kiselev Andrey Grabovoy 54 1 0 18 Sep 2024
Are Large Language Models Really Robust to Word-Level Perturbations? Haoyu Wang Guozheng Ma Cong Yu Ning Gui Linrui Zhang ... Sen Zhang Li Shen Xueqian Wang Peilin Zhao Dacheng Tao KELM 28 22 0 20 Sep 2023
The large learning rate phase of deep learning: the catapult mechanism Aitor Lewkowycz Yasaman Bahri Ethan Dyer Jascha Narain Sohl-Dickstein Guy Gur-Ari ODL 159 234 0 04 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016