3 citations · 6 across the 5 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Combining Adam and its Inverse Counterpart to Enhance Generalization of Deep Learning Optimizers
Tao Shi, Liangming Chen, Long Jin +1
In the training of neural networks, adaptive moment estimation (Adam) typically converges fast but exhibits suboptimal generalization performance. A widely accepted explanation for…
cs.LG2024★ 1 cited
A Method for Enhancing Generalization of Adam by Multiple Integrations
Long Jin, Han Nong, Liangming Chen +1
The insufficient generalization of adaptive moment estimation (Adam) has hindered its broader application. Recent studies have shown that flat minima in loss landscapes are highly…
cs.LG2020★ 2 cited
Deforming the Loss Surface to Affect the Behaviour of the Optimizer
Liangming Chen, Long Jin, Xiujuan Du +2
In deep learning, it is usually assumed that the optimization process is conducted on a shape-fixed loss surface. Differently, we first propose a novel concept of deformation mappi…