Learning with Bounded Instance- and Label-dependent Label Noise

Learning with Bounded Instance- and Label-dependent Label Noise

12 September 2017

K. Ramamohanarao

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

17 / 17 papers shown

Title
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Jun Zhou NoLa CML 175 0 0 18 Dec 2024
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 21 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 28 27 0 29 Mar 2022
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation Jeongeun Park Seungyoung Shin Sangheum Hwang Sungjoon Choi 15 5 0 02 Nov 2021
EQFace: A Simple Explicit Quality Network for Face Recognition Rushuai Liu Weijun Tan CVBM 22 18 0 03 May 2021
Collaborative Label Correction via Entropy Thresholding Hao Wu Jiangchao Yao Jiajie Wang Yinru Chen Ya-Qin Zhang Yanfeng Wang NoLa 16 4 0 31 Mar 2021
Analysing the Noise Model Error for Realistic Noisy Label Data Michael A. Hedderich D. Zhu Dietrich Klakow NoLa 21 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 31 122 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 16 6 0 19 Oct 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise Xiaobo Xia Tongliang Liu Bo Han Nannan Wang Mingming Gong Haifeng Liu Gang Niu Dacheng Tao Masashi Sugiyama NoLa 11 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 21 104 0 11 Jan 2020
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang Tongliang Liu Cheng Deng Wei Liu Dacheng Tao FedML 12 144 0 09 May 2019
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 30 85 0 31 Aug 2018
Learning with Biased Complementary Labels Xiyu Yu Tongliang Liu Mingming Gong Dacheng Tao 24 192 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