Understanding Why Neural Networks Generalize Well Through GSNR of Parameters

21 January 2020

Papers citing "Understanding Why Neural Networks Generalize Well Through GSNR of Parameters"

6 / 6 papers shown

Title
Wrong-of-Thought: An Integrated Reasoning Framework with Multi-Perspective Verification and Wrong Information Yongheng Zhang Qiguang Chen Jingxuan Zhou Peng Wang Jiasheng Si Jin Wang Wenpeng Lu Libo Qin LRM 46 3 0 06 Oct 2024
Gradient Mask: Lateral Inhibition Mechanism Improves Performance in Artificial Neural Networks Lei Jiang Yongqing Liu Shihai Xiao Yansong Chua 28 0 0 14 Aug 2022
In Search of Probeable Generalization Measures Jonathan Jaegerman Khalil Damouni M. M. Ankaralı Konstantinos N. Plataniotis 19 2 0 23 Oct 2021
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary Shuyue Guan Murray H. Loew 17 25 0 16 Sep 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski Maciej Szymczak Stanislav Fort Devansh Arpit Jacek Tabor Kyunghyun Cho Krzysztof J. Geras 42 154 0 21 Feb 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 281 2,888 0 15 Sep 2016