PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for
Learning with Noisy Labels

PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels

7 December 2022

Sheng Liu

Olivier Salvado

Thierry Rakotoarivelo

Papers citing "PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels"

4 / 4 papers shown

Title
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 11 6 0 22 Mar 2023
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain Honggu Liu Xiaodan Li Wenbo Zhou YueFeng Chen Yuan He Hui Xue Weiming Zhang Nenghai Yu CVBM 135 280 0 02 Mar 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 300 488 0 05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 36 170 0 24 May 2019