Learning with Bounded Instance- and Label-dependent Label Noise

12 September 2017

Papers citing "Learning with Bounded Instance- and Label-dependent Label Noise"

20 / 20 papers shown

Title
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 207 0 0 18 Dec 2024
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 24 3 0 11 Oct 2022
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning Trenton Chang Michael Sjoding Jenna Wiens 22 11 0 01 Aug 2022
SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation Xiaoqing Guo Jie Liu Tongliang Liu Yiyuan Yuan 38 27 0 29 Mar 2022
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 25 5 0 02 Nov 2021
EQFace: A Simple Explicit Quality Network for Face Recognition Rushuai Liu Weijun Tan CVBM 30 18 0 03 May 2021
Learning from Noisy Labels for Entity-Centric Information Extraction Wenxuan Zhou Muhao Chen NoLa 12 65 0 17 Apr 2021
Collaborative Label Correction via Entropy Thresholding Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya Zhang Yanfeng Wang NoLa 22 4 0 31 Mar 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 29 19 0 24 Jan 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise Pengfei Chen Junjie Ye Guangyong Chen Jingwei Zhao Pheng-Ann Heng NoLa 40 122 0 10 Dec 2020
A Survey of Label-noise Representation Learning: Past, Present and Future Bo Han Quanming Yao Tongliang Liu Gang Niu Ivor W. Tsang James T. Kwok Masashi Sugiyama NoLa 24 158 0 09 Nov 2020
Importance Reweighting for Biquality Learning Pierre Nodet V. Lemaire A. Bondu Antoine Cornuéjols NoLa 19 6 0 19 Oct 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Biwei Huang Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 13 67 0 14 Jun 2020
Confidence Scores Make Instance-dependent Label-noise Learning Possible Antonin Berthon Bo Han Gang Niu Tongliang Liu Masashi Sugiyama NoLa 37 104 0 11 Jan 2020
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 11 369 0 01 Jun 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang Tongliang Liu Cheng Deng Wei Liu Dacheng Tao FedML 14 144 0 09 May 2019
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation Clayton Scott 18 34 0 03 Oct 2018
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 86 0 31 Aug 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Biwei Huang Dacheng Tao 26 193 0 27 Nov 2017
Learning from Binary Labels with Instance-Dependent Corruption A. Menon Brendan van Rooyen Nagarajan Natarajan NoLa 31 41 0 03 May 2016