Showing cs.LGShow all
2 papers · 1 filter
cs.LG2025
Set a Thief to Catch a Thief: Combating Label Noise through Noisy Meta Learning
Hanxuan Wang, Na Lu, Xueying Zhao +4
Learning from noisy labels (LNL) aims to train high-performance deep models using noisy datasets. Meta learning based label correction methods have demonstrated remarkable performa…
cs.LG2024
A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks
Hanxuan Wang, Na Lu, Yinhong Liu +2
The success of deep learning in transient stability assessment (TSA) heavily relies on high-quality training data. However, the label information in TSA datasets is vulnerable to c…