Mitigating Memorization of Noisy Labels via Regularization between Representations

18 October 2021

Zhaowei Zhu

Yang Liu

Papers citing "Mitigating Memorization of Noisy Labels via Regularization between Representations"

21 / 21 papers shown

Title
Robust Classification with Noisy Labels Based on Posterior Maximization Nicola Novello Andrea M. Tonello NoLa 47 0 0 09 Apr 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning Chen Shu Mengke Li Yiqun Zhang Yang Lu Bo Han Yiu-ming Cheung Hanzi Wang NoLa 61 0 0 14 Mar 2025
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 44 0 0 03 Oct 2024
Weakly-supervised Medical Image Segmentation with Gaze Annotations Yuan Zhong Chenhui Tang Yumeng Yang Ruoxi Qi Kang Zhou Yuqi Gong Pheng-Ann Heng J. H. Hsiao Qi Dou 21 2 0 10 Jul 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 21 1 0 30 May 2024
Noisy Label Processing for Classification: A Survey Mengting Li Chuang Zhu NoLa 30 1 0 05 Apr 2024
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning Xinyuan Ji Zhaowei Zhu Wei Xi Olga Gadyatskaya Zilong Song Yong Cai Yang Liu FedML 29 7 0 25 Mar 2024
Skeleton-Based Human Action Recognition with Noisy Labels Yi Xu Kunyu Peng Di Wen Ruiping Liu Junwei Zheng Yufan Chen Jiaming Zhang Alina Roitberg Kailun Yang Rainer Stiefelhagen NoLa 33 3 0 15 Mar 2024
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement Daiwei Yu Zhuorong Li Lina Wei Canghong Jin Yun Zhang Sixian Chan 19 1 0 14 Mar 2024
An Empirical Study of Automated Mislabel Detection in Real World Vision Datasets Maya Srikanth Jeremy Irvin Brian Wesley Hill Felipe Godoy Ishan Sabane Andrew Y. Ng 24 2 0 02 Dec 2023
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models Zhaowei Zhu Jialu Wang Hao Cheng Yang Liu 16 14 0 19 Nov 2023
Fine tuning Pre trained Models for Robustness Under Noisy Labels Sumyeong Ahn Sihyeon Kim Jongwoo Ko SeYoung Yun AAML NoLa 22 5 0 24 Oct 2023
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks Hao Chen Jindong Wang Ankit Shah Ran Tao Hongxin Wei Berfin cSimcsek Masashi Sugiyama Bhiksha Raj 22 26 0 29 Sep 2023
Fairness Improves Learning from Noisily Labeled Long-Tailed Data Jiaheng Wei Zhaowei Zhu Gang Niu Tongliang Liu Sijia Liu Masashi Sugiyama Yang Liu 21 6 0 22 Mar 2023
CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning Shiyun Tian Hongxin Wei Yiqun Wang Lei Feng 14 5 0 18 Mar 2023
Fine-Grained Classification with Noisy Labels Qi Wei Lei Feng Haoliang Sun Ren Wang Chenhui Guo Yilong Yin NoLa 100 19 0 04 Mar 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction Hongxin Wei Huiping Zhuang Renchunzi Xie Lei Feng Gang Niu Bo An Yixuan Li VLM NoLa 12 29 0 08 Dec 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Y. Liu 14 21 0 06 Oct 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 31 13 0 17 Aug 2022
To Aggregate or Not? Learning with Separate Noisy Labels Jiaheng Wei Zhaowei Zhu Tianyi Luo Ehsan Amid Abhishek Kumar Yang Liu NoLa 23 37 0 14 Jun 2022
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 488 0 05 Mar 2020