Adaptive Sample Selection for Robust Learning under Label Noise

Adaptive Sample Selection for Robust Learning under Label Noise

29 June 2021

Papers citing "Adaptive Sample Selection for Robust Learning under Label Noise"

14 / 14 papers shown

Title
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future Long Chen Yuzhi Huang Junyu Dong Qi Xu Sam Kwong Huimin Lu Huchuan Lu Chongyi Li 31 2 0 08 Oct 2024
Coordinated Sparse Recovery of Label Noise Yukun Yang Naihao Wang Haixin Yang Ruirui Li NoLa 24 0 0 07 Apr 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 32 0 0 23 Mar 2024
Diversified and Personalized Multi-rater Medical Image Segmentation Yicheng Wu Xiangde Luo Zhe Xu Xiaoqing Guo Lie Ju Zongyuan Ge Wenjun Liao Jianfei Cai 33 3 0 20 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
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection Huafeng Liu Mengmeng Sheng Zeren Sun Yazhou Yao Xian-Sheng Hua H. Shen NoLa 13 6 0 17 Feb 2024
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning Mengmeng Sheng Zeren Sun Zhenhuang Cai Tao Chen Yichao Zhou Yazhou Yao 26 16 0 15 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 25 9 0 13 Dec 2023
Regularly Truncated M-estimators for Learning with Noisy Labels Xiaobo Xia Pengqian Lu Chen Gong Bo Han Jun-chen Yu Jun Yu Tongliang Liu NoLa 10 8 0 02 Sep 2023
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels Jian Chen Ruiyi Zhang Tong Yu Rohan Sharma Zhiqiang Xu Tong Sun Changyou Chen DiffM 25 17 0 31 May 2023
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method Manyi Zhang Xuyang Zhao Jun Yao Chun Yuan Weiran Huang 14 19 0 20 Nov 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 31 13 0 17 Aug 2022
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 303 494 0 05 Mar 2020
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 172 0 24 May 2019