How does Disagreement Help Generalization against Label Corruption?

14 January 2019

Xingrui Yu

Bo Han

Jiangchao Yao

Ivor W. Tsang

Papers citing "How does Disagreement Help Generalization against Label Corruption?"

41 / 41 papers shown

Title
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data Weiran Pan Wei Wei Feida Zhu Yong Deng NoLa 433 0 0 24 Apr 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 157 0 0 16 Mar 2025
Early Stopping Against Label Noise Without Validation Data Suqin Yuan Lei Feng Tongliang Liu NoLa 177 18 0 11 Feb 2025
Learning with Noisy Labels: the Exploration of Error Bounds in Classification Haixia Liu Boxiao Li Can Yang Yang Wang 64 0 0 28 Jan 2025
Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection Zhipeng Yu Qianqian Xu Yangbangyan Jiang Yingfei Sun Qingming Huang NoLa 98 0 0 19 Jan 2025
Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels Erjian Guo Zicheng Wang Zhen Zhao Luping Zhou NoLa 118 0 0 12 Jan 2025
Combating Label Noise With A General Surrogate Model For Sample Selection Chao Liang Linchao Zhu Humphrey Shi Yi Yang VLM NoLa 76 2 0 31 Dec 2024
Learning Causal Transition Matrix for Instance-dependent Label Noise Jiahui Li Tai-wei Chang Kun Kuang Ximing Li Long Chen Zhiqiang Zhang NoLa CML 409 0 0 18 Dec 2024
Combating Semantic Contamination in Learning with Label Noise Wenxiao Fan Kan Li NoLa 427 0 0 16 Dec 2024
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding Zilin Du Haoxin Li Jianfei Yu Boyang Li 384 0 0 01 Dec 2024
An Embedding is Worth a Thousand Noisy Labels Francesco Di Salvo Sebastian Doerrich Ines Rieger Christian Ledig NoLa 92 0 0 26 Aug 2024
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 81 1 0 31 Jul 2024
QMix: Quality-aware Learning with Mixed Noise for Robust Retinal Disease Diagnosis Junlin Hou Jilan Xu Rui Feng Hao Chen 53 0 0 08 Apr 2024
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 113 2 0 02 Jan 2023
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 62 181 0 10 Nov 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels Kimin Lee Sukmin Yun Kibok Lee Honglak Lee Yue Liu Jinwoo Shin NoLa 68 136 0 31 Jan 2019
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data Nan Lu Gang Niu A. Menon Masashi Sugiyama MQ 56 87 0 31 Aug 2018
Dimensionality-Driven Learning with Noisy Labels Xingjun Ma Yisen Wang Michael E. Houle Shuo Zhou S. Erfani Shutao Xia S. Wijewickrema James Bailey NoLa 58 429 0 07 Jun 2018
Masking: A New Perspective of Noisy Supervision Bo Han Jiangchao Yao Gang Niu Mingyuan Zhou Ivor Tsang Ya Zhang Masashi Sugiyama NoLa 56 255 0 21 May 2018
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels Zhilu Zhang M. Sabuncu NoLa 60 2,580 0 20 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 85 2,051 0 18 Apr 2018
Iterative Learning with Open-set Noisy Labels Yisen Wang Weiyang Liu Xingjun Ma James Bailey H. Zha Le Song Shutao Xia NoLa 58 326 0 31 Mar 2018
Joint Optimization Framework for Learning with Noisy Labels Daiki Tanaka Daiki Ikami T. Yamasaki Kiyoharu Aizawa NoLa 58 708 0 30 Mar 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 128 1,419 0 24 Mar 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 122 553 0 14 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 88 1,448 0 14 Dec 2017
Deep learning from crowds Filipe Rodrigues Francisco Câmara Pereira FedML NoLa 40 257 0 06 Sep 2017
Theoretical Foundation of Co-Training and Disagreement-Based Algorithms Wei Wang Zhi Zhou 15 22 0 15 Aug 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 102 1,801 0 16 Jun 2017
Decoupling "when to update" from "how to update" Eran Malach Shai Shalev-Shwartz NoLa 64 564 0 08 Jun 2017
Learning from Noisy Labels with Distillation Yuncheng Li Jianchao Yang Yale Song Liangliang Cao Jiebo Luo Li Li NoLa 66 549 0 07 Mar 2017
Positive-Unlabeled Learning with Non-Negative Risk Estimator Ryuichi Kiryo Gang Niu M. C. D. Plessis Masashi Sugiyama 60 471 0 02 Mar 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision Andreas Veit N. Alldrin Gal Chechik Ivan Krasin Abhinav Gupta Serge J. Belongie 87 476 0 06 Jan 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 269 4,620 0 10 Nov 2016
Temporal Ensembling for Semi-Supervised Learning S. Laine Timo Aila UQCV 165 2,543 0 07 Oct 2016
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach Giorgio Patrini A. Rozza A. Menon Richard Nock Zhuang Li NoLa 83 1,447 0 13 Sep 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 288 10,149 0 16 Mar 2016
Learning with Symmetric Label Noise: The Importance of Being Unhinged Brendan van Rooyen A. Menon Robert C. Williamson NoLa 87 309 0 28 May 2015
Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed Honglak Lee Dragomir Anguelov Christian Szegedy D. Erhan Andrew Rabinovich NoLa 104 1,014 0 20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014
Class Proportion Estimation with Application to Multiclass Anomaly Rejection Tyler Sanderson Clayton Scott 39 47 0 21 Jun 2013