Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels

24 January 2024

Papers citing "Understanding and Mitigating the Bias in Sample Selection for Learning with Noisy Labels"

6 / 6 papers shown

Title
Fine-Grained Classification with Noisy Labels Qinglai Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 113 20 0 04 Mar 2023
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 160 333 0 18 Feb 2022
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 108 34 0 08 Nov 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun Xia Lirong Wu Stan Z. Li NoLa 76 120 0 05 Aug 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 501 0 05 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition Boyan Zhou Quan Cui Xiu-Shen Wei Zhao-Min Chen 253 784 0 05 Dec 2019