Identifying Mislabeled Data using the Area Under the Margin Ranking

28 January 2020

Papers citing "Identifying Mislabeled Data using the Area Under the Margin Ranking"

50 / 61 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 173 0 0 24 Apr 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data Anish Acharya Sujay Sanghavi Alexandros G. Dimakis Inderjit S Dhillon AAML 62 0 0 01 Apr 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 57 0 0 25 Feb 2025
Diversity-Oriented Data Augmentation with Large Language Models Zaitian Wang Jinghan Zhang Xinhao Zhang Kunpeng Liu Pengfei Wang Yuanchun Zhou 80 1 0 17 Feb 2025
Geometric Median (GM) Matching for Robust Data Pruning Anish Acharya Inderjit S Dhillon Sujay Sanghavi AAML 59 0 0 20 Jan 2025
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction Quan Zhang Yuxin Qi Xi Tang Rui Yuan Xi Lin Kaipeng Zhang Chun Yuan NoLa 81 1 0 19 Jan 2025
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identification Zi Yang Haojin Yang Soumajit Majumder Jorge M. Cardoso Guillermo Gallego MoMe VLM 106 1 0 13 Dec 2024
Structural-Entropy-Based Sample Selection for Efficient and Effective Learning Tianchi Xie Jiangning Zhu Guozu Ma Minzhi Lin Wei Chen Weikai Yang Shixia Liu 30 0 0 03 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 135 0 0 01 Oct 2024
Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks Anita Eisenburger Daniel Otten Anselm Hudde F. Hopfgartner NoLa 47 1 0 13 Sep 2024
Concept-skill Transferability-based Data Selection for Large Vision-Language Models Jaewoo Lee Boyang Li Sung Ju Hwang VLM 43 8 0 16 Jun 2024
Diversified Batch Selection for Training Acceleration Feng Hong Yueming Lyu Jiangchao Yao Ya Zhang Ivor W. Tsang Yanfeng Wang 42 4 0 07 Jun 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 41 1 0 01 Jun 2024
Exploring the Evolution of Hidden Activations with Live-Update Visualization Xianglin Yang Jin Song Dong 35 0 0 24 May 2024
Corrective Machine Unlearning Shashwat Goel Ameya Prabhu Philip Torr Ponnurangam Kumaraguru Amartya Sanyal OnRL 40 14 0 21 Feb 2024
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 37 7 0 22 Nov 2023
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning A. Maharana Prateek Yadav Mohit Bansal 27 28 0 11 Oct 2023
MarginMatch: Improving Semi-Supervised Learning with Pseudo-Margins Tiberiu Sosea Cornelia Caragea 16 12 0 17 Aug 2023
Robust Feature Learning Against Noisy Labels Tsung-Ming Tai Yun-Jie Jhang Wen-Jyi Hwang NoLa 23 1 0 10 Jul 2023
On Evaluation of Document Classification using RVL-CDIP Stefan Larson Gordon Lim Kevin Leach 31 3 0 21 Jun 2023
Learning with Noisy Labels through Learnable Weighting and Centroid Similarity F. Wani Maria Sofia Bucarelli Fabrizio Silvestri NoLa 37 3 0 16 Mar 2023
Learning from Noisy Labels with Decoupled Meta Label Purifier Yuanpeng Tu Boshen Zhang Yuxi Li Liang Liu Jian Li Yabiao Wang Chengjie Wang C. Zhao NoLa 49 27 0 14 Feb 2023
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics Minkyung Kim Junsik Kim Jongmin Yu Jun Kyun Choi 19 2 0 13 Feb 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 33 5 0 18 Jan 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 24 28 0 21 Dec 2022
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features Qingrui Jia Xuhong Li Lei Yu Jiang Bian Penghao Zhao Shupeng Li Haoyi Xiong Dejing Dou NoLa 35 5 0 19 Dec 2022
Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh Hanie Sedghi Patrick Thiran NoLa TDI 34 4 0 08 Dec 2022
CrossSplit: Mitigating Label Noise Memorization through Data Splitting Jihye Kim A. Baratin Yan Zhang Simon Lacoste-Julien NoLa 18 7 0 03 Dec 2022
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels Sumyeong Ahn Se-Young Yun NoLa 29 2 0 01 Dec 2022
Robust Training of Graph Neural Networks via Noise Governance Siyi Qian Haochao Ying Renjun Hu Jingbo Zhou Jintai Chen Danny Chen Jian Wu NoLa 33 34 0 12 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 27 12 0 09 Nov 2022
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees M. Ponti L. Oliveira Mathias Esteban Valentina Garcia J. Román Luis Argerich TDI 30 4 0 20 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 34 13 0 13 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao Wang C. Yuan 24 3 0 11 Oct 2022
The Dynamic of Consensus in Deep Networks and the Identification of Noisy Labels Daniel Shwartz Uri Stern D. Weinshall NoLa 33 2 0 02 Oct 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 44 27 0 20 Sep 2022
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling Boshen Zhang Yuxi Li Yuanpeng Tu Jinlong Peng Yabiao Wang Cunlin Wu Yanghua Xiao Cairong Zhao NoLa 38 6 0 23 Aug 2022
W2N:Switching From Weak Supervision to Noisy Supervision for Object Detection Zitong Huang Yiping Bao Bowen Dong Erjin Zhou W. Zuo WSOD 21 16 0 25 Jul 2022
Protoformer: Embedding Prototypes for Transformers Ashkan Farhangi Ning Sui Nan Hua Haiyan Bai Arthur Huang Zhishan Guo ViT 29 5 0 25 Jun 2022
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt Sören Mindermann J. Brauner Muhammed Razzak Mrinank Sharma Andreas Kirsch ... Benedikt Höltgen Aidan Gomez Adrien Morisot Sebastian Farquhar Y. Gal 62 148 0 14 Jun 2022
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation Chenyang Wang Junjun Jiang Xiong Zhou Xianming Liu 34 3 0 25 May 2022
An Empirical Investigation of Commonsense Self-Supervision with Knowledge Graphs Jiarui Zhang Filip Ilievski Kaixin Ma Jonathan M Francis A. Oltramari SSL 16 5 0 21 May 2022
A Data Cartography based MixUp for Pre-trained Language Models Seohong Park Cornelia Caragea 13 6 0 06 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 27 22 0 30 Apr 2022
Exploring ML testing in practice -- Lessons learned from an interactive rapid review with Axis Communications Qunying Song Markus Borg Emelie Engström H. Ardö Sergio Rico 14 10 0 30 Mar 2022
Adaptor: Objective-Centric Adaptation Framework for Language Models Michal vStefánik Vít Novotný Nikola Groverová Petr Sojka 32 10 0 08 Mar 2022
FORML: Learning to Reweight Data for Fairness Bobby Yan Skyler Seto N. Apostoloff FaML 25 11 0 03 Feb 2022
MOTIF: A Large Malware Reference Dataset with Ground Truth Family Labels R. Joyce Dev Amlani B. Hamilton Edward Raff 26 21 0 29 Nov 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 30 18 0 22 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 35 13 0 15 Oct 2021