A Survey of Label-noise Representation Learning: Past, Present and Future

9 November 2020

Bo Han

Ivor W. Tsang

Papers citing "A Survey of Label-noise Representation Learning: Past, Present and Future"

25 / 25 papers shown

Title
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 93 14 0 11 Feb 2025
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification Junru Chen Tianyu Cao Ninon De Mecquenem Jiahe Li Zhilong Chen F. Friederici Yang Yang 38 1 0 31 Jul 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 14 1 0 01 Jun 2024
On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction Jianwei Wang Tianyin Wang Ziqian Zeng 41 1 0 28 Feb 2024
Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery Hengwei Zhao Xinyu Wang Jingtao Li Yanfei Zhong 8 9 0 29 Aug 2023
Large-scale Fully-Unsupervised Re-Identification Gabriel Bertocco Fernanda A. Andaló Terrance E. Boult Anderson de Rezende Rocha 28 1 0 26 Jul 2023
PNT-Edge: Towards Robust Edge Detection with Noisy Labels by Learning Pixel-level Noise Transitions Wenjie Xuan Shanshan Zhao Yu Yao Juhua Liu Tongliang Liu Yixin Chen Bo Du Dacheng Tao NoLa 26 6 0 26 Jul 2023
GenKL: An Iterative Framework for Resolving Label Ambiguity and Label Non-conformity in Web Images Via a New Generalized KL Divergence Xia Huang Kai Fong Ernest Chong 37 2 0 19 Jul 2023
AUC Optimization from Multiple Unlabeled Datasets Zheng Xie Yu Liu Ming Li 57 0 0 25 May 2023
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 30 3 0 08 Dec 2022
On the Overlooked Structure of Stochastic Gradients Zeke Xie Qian-Yuan Tang Mingming Sun P. Li 18 6 0 05 Dec 2022
Universal hidden monotonic trend estimation with contrastive learning Edouard Pineau S. Razakarivony Mauricio Gonzalez A. Schrapffer 16 0 0 18 Oct 2022
Bayesian Robust Graph Contrastive Learning Yancheng Wang Yingzhen Yang OOD 18 1 0 27 May 2022
Multi-class Label Noise Learning via Loss Decomposition and Centroid Estimation Yongliang Ding Tao Zhou Chuang Zhang Yijing Luo Juan Tang Chen Gong NoLa 8 4 0 21 Mar 2022
ASSIST: Towards Label Noise-Robust Dialogue State Tracking Fanghua Ye Yue Feng Emine Yilmaz 16 21 0 26 Feb 2022
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning Haobo Wang Rui Xiao Yixuan Li Lei Feng Gang Niu Gang Chen J. Zhao VLM 41 24 0 22 Jan 2022
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise Chen Feng Georgios Tzimiropoulos Ioannis Patras NoLa 19 18 0 22 Nov 2021
Constrained Instance and Class Reweighting for Robust Learning under Label Noise Abhishek Kumar Ehsan Amid NoLa 23 19 0 09 Nov 2021
RIM: Reliable Influence-based Active Learning on Graphs Wentao Zhang Yexin Wang Zhenbang You Mengyao Cao Ping-Chia Huang Jiulong Shan Zhi-Xin Yang Bin Cui 22 30 0 28 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 22 28 0 18 Oct 2021
Knowledge Distillation with Noisy Labels for Natural Language Understanding Shivendra Bhardwaj Abbas Ghaddar Ahmad Rashid Khalil Bibi Cheng-huan Li A. Ghodsi Philippe Langlais Mehdi Rezagholizadeh 13 1 0 21 Sep 2021
Learning with Noisy Labels via Sparse Regularization Xiong Zhou Xianming Liu Chenyang Wang Deming Zhai Junjun Jiang Xiangyang Ji NoLa 18 50 0 31 Jul 2021
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
Curriculum Loss: Robust Learning and Generalization against Label Corruption Yueming Lyu Ivor W. Tsang NoLa 47 170 0 24 May 2019
Learning from Binary Labels with Instance-Dependent Corruption A. Menon Brendan van Rooyen Nagarajan Natarajan NoLa 31 41 0 03 May 2016