Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning

7 April 2019

Papers citing "Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning"

6 / 6 papers shown

Title
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 54 1 0 21 Aug 2023
Full Parameter Fine-tuning for Large Language Models with Limited Resources Kai Lv Yuqing Yang Tengxiao Liu Qi-jie Gao Qipeng Guo Xipeng Qiu 47 127 0 16 Jun 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 28 56 0 16 Mar 2023
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients Hualin Zhang Huan Xiong Bin Gu 35 7 0 04 Oct 2022
On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks Yizhou Liu Weijie J. Su Tongyang Li 27 18 0 29 Sep 2022
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014