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Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

4 May 2017

Papers citing "Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels"

50 / 61 papers shown

Title
Labelling Data with Unknown References Adrian de Wynter 69 0 0 03 Jun 2025
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre Homayoun Najjaran 234 0 0 04 Nov 2024
AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami Vedant Sanil Arjun Choudhry Arvind Srinivasan Chalisa Udompanyawit Artur Dubrawski 104 13 0 15 Jun 2023
Dens-PU: PU Learning with Density-Based Positive Labeled Augmentation Vasileios Sevetlidis George Pavlidis S. Mouroutsos Antonios Gasteratos 53 6 0 21 Mar 2023
Label-Efficient Interactive Time-Series Anomaly Detection Hongmei Guo Yujing Wang Jieyu Zhang Zhe-Min Lin Yu Tong Lei Yang Luoxing Xiong Congrui Huang AI4TS 72 1 0 30 Dec 2022
Corruption-tolerant Algorithms for Generalized Linear Models B. Mukhoty Debojyoti Dey Purushottam Kar 32 1 0 11 Dec 2022
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective Yunrui Zhao Qianqian Xu Yangbangyan Jiang Peisong Wen Qingming Huang 71 40 0 06 Dec 2022
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 64 0 0 28 Nov 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 97 15 0 17 Aug 2022
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification Tom Burgert Mahdyar Ravanbakhsh Begüm Demir NoLa 62 18 0 28 Jul 2022
DataPerf: Benchmarks for Data-Centric AI Development Mark Mazumder Colby R. Banbury Xiaozhe Yao Bojan Karlavs W. G. Rojas ... Carole-Jean Wu Cody Coleman Andrew Y. Ng Peter Mattson Vijay Janapa Reddi VLM 87 105 0 20 Jul 2022
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation De Cheng Tongliang Liu Yixiong Ning Nannan Wang Bo Han Gang Niu Xinbo Gao Masashi Sugiyama NoLa 82 66 0 06 Jun 2022
MSR: Making Self-supervised learning Robust to Aggressive Augmentations Ying-Long Bai Erkun Yang Zhaoqing Wang Yuxuan Du Bo Han Cheng Deng Dadong Wang Tongliang Liu SSL 85 3 0 04 Jun 2022
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning Nazmul Karim Mamshad Nayeem Rizve Nazanin Rahnavard Ajmal Mian M. Shah NoLa 89 100 0 28 Mar 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 111 4 0 21 Mar 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 101 48 0 04 Feb 2022
Do We Need to Penalize Variance of Losses for Learning with Label Noise? Yexiong Lin Yu Yao Yuxuan Du Jun Yu Bo Han Biwei Huang Tongliang Liu NoLa 94 3 0 30 Jan 2022
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images Zhenzhen Wang Carla Saoud A. Popel Aaron W. James Aleksander S. Popel Jeremias Sulam 87 23 0 22 Sep 2021
Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels Erik Englesson Hossein Azizpour NoLa 85 107 0 10 May 2021
Self-paced Resistance Learning against Overfitting on Noisy Labels Xiaoshuang Shi Zhenhua Guo Fuyong Xing Yun Liang Xiaofeng Zhu NoLa 70 23 0 07 May 2021
Joint Negative and Positive Learning for Noisy Labels Youngdong Kim Juseung Yun Hyounguk Shon Junmo Kim NoLa 76 63 0 14 Apr 2021
Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training Yoonhyung Kim Changick Kim 119 8 0 01 Apr 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 123 539 0 26 Mar 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 212 123 0 04 Feb 2021
Robust Deep Learning with Active Noise Cancellation for Spatial Computing Li Chen David Yang Purvi Goel I. Kabul 53 2 0 16 Nov 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 100 163 0 09 Nov 2020
Pointwise Binary Classification with Pairwise Confidence Comparisons Lei Feng Senlin Shu Nan Lu Bo Han Miao Xu Gang Niu Bo An Masashi Sugiyama 101 23 0 05 Oct 2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics Swabha Swayamdipta Roy Schwartz Nicholas Lourie Yizhong Wang Hannaneh Hajishirzi Noah A. Smith Yejin Choi 147 452 0 22 Sep 2020
P-DIFF: Learning Classifier with Noisy Labels based on Probability Difference Distributions Wei Hu QiHao Zhao Yangyu Huang Fan Zhang 55 5 0 14 Sep 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 86 38 0 11 Jul 2020
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification Yushan Liu M. M. Geipel C. Tietz Florian Buettner 32 2 0 10 Jul 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 79 67 0 14 Jun 2020
Robust and On-the-fly Dataset Denoising for Image Classification Jiaming Song Lunjia Hu Michael Auli Yann N. Dauphin Tengyu Ma NoLa OOD 90 13 0 24 Mar 2020
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning Yu Yao Tongliang Liu Bo Han Biwei Huang Gang Niu Masashi Sugiyama Dacheng Tao 82 18 0 10 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 149 274 0 28 Jan 2020
Image Classification with Deep Learning in the Presence of Noisy Labels: A Survey G. Algan ilkay Ulusoy NoLa VLM 96 334 0 11 Dec 2019
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 133 551 0 05 Dec 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 223 705 0 31 Oct 2019
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification Florent Chiaroni G. Khodabandelou Mohamed-Cherif Rahal N. Hueber Frederic Dufaux 26 4 0 04 Oct 2019
NLNL: Negative Learning for Noisy Labels Youngdong Kim Junho Yim Juseung Yun Junmo Kim NoLa 63 277 0 19 Aug 2019
Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval Dany Haddad Joydeep Ghosh SSL 27 11 0 19 Jul 2019
Learnability for the Information Bottleneck Tailin Wu Ian S. Fischer Isaac L. Chuang Max Tegmark 82 42 0 17 Jul 2019
$$(1 + \varepsilon)$-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets$ $(1 + \varepsilon)$ -class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets M. Borisyak Artem Sergeevich Ryzhikov Andrey Ustyuzhanin D. Derkach Fedor Ratnikov Olga Mineeva 32 4 0 14 Jun 2019
A Variational Approach for Learning from Positive and Unlabeled Data Hui Chen Fangqing Liu Yin Wang Liyue Zhao Hao Wu 36 4 0 03 Jun 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 134 382 0 01 Jun 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs Erkun Yang Tongliang Liu Cheng Deng Wei Liu Dacheng Tao FedML 71 144 0 09 May 2019
Noise-tolerant fair classification A. Lamy Ziyuan Zhong A. Menon Nakul Verma NoLa 96 77 0 30 Jan 2019
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 89 569 0 12 Nov 2018
A Generalized Neyman-Pearson Criterion for Optimal Domain Adaptation Clayton Scott 95 36 0 03 Oct 2018
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data Jessa Bekker Pieter Robberechts Jesse Davis 111 84 0 10 Sep 2018