Learning with Imbalanced Noisy Data by Preventing Bias in Sample
Selection

Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection

17 February 2024

Yazhou Yao

Papers citing "Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection"

6 / 6 papers shown

Title
Robust Dynamic Facial Expression Recognition Feng Liu Hanyang Wang Siyuan Shen 45 0 0 22 Feb 2025
Applications of Knowledge Distillation in Remote Sensing: A Survey Yassine Himeur N. Aburaed O. Elharrouss Iraklis Varlamis Shadi Atalla W. Mansoor Hussain Al Ahmad 45 4 0 18 Sep 2024
Foster Adaptivity and Balance in Learning with Noisy Labels Mengmeng Sheng Zeren Sun Tao Chen Shuchao Pang Yucheng Wang Yazhou Yao 31 2 0 03 Jul 2024
Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules Yi Zhang Dongyuan Lu Jitao Sang FaML 30 1 0 07 Apr 2024
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias Shangxi Wu Qiuyang He Jitao Sang Jitao Sang 11 1 0 01 Mar 2023
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 310 497 0 05 Mar 2020