Confident Learning: Estimating Uncertainty in Dataset Labels

31 October 2019

Papers citing "Confident Learning: Estimating Uncertainty in Dataset Labels"

50 / 276 papers shown

Title
Core-Set Selection for Data-efficient Land Cover Segmentation Keiller Nogueira Akram Zaytar Wanli Ma R. Roscher Ronny Hansch ... Simone Fobi Nsutezo Rahul Dodhia J. L. Ferres Oktay Karakuş Paul L. Rosin 27 0 0 02 May 2025
Identifying Key Challenges of Hardness-Based Resampling Pawel Pukowski Venet Osmani 26 0 0 09 Apr 2025
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels Seunghun Yu Jin-Hyun Ahn Joonhyuk Kang FedML 43 0 0 08 Apr 2025
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 30 6 0 03 Apr 2025
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP Jiztom Kavalakkatt Francis Matthew J. Darr 32 0 0 02 Apr 2025
GReaTER: Generate Realistic Tabular data after data Enhancement and Reduction Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng LMTD 61 1 0 19 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 50 0 0 05 Mar 2025
Confidence HNC: A Network Flow Technique for Binary Classification with Noisy Labels Dorit Hochbaum Torpong Nitayanont 60 0 0 04 Mar 2025
ClipGrader: Leveraging Vision-Language Models for Robust Label Quality Assessment in Object Detection Hong Lu Yali Bian Rahul C. Shah ObjD VLM 81 0 0 03 Mar 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation Emil Njor Colby R. Banbury Xenofon Fafoutis 65 0 0 18 Feb 2025
Detecting Systematic Weaknesses in Vision Models along Predefined Human-Understandable Dimensions Sujan Sai Gannamaneni Rohil Prakash Rao Michael Mock Maram Akila Stefan Wrobel AAML 67 0 0 17 Feb 2025
Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models Tabinda Sarwar Antonio Jose Jimeno Yepes Lawrence Cavedon 58 0 0 12 Feb 2025
Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets? Utku Ozbulak Esla Timothy Anzaku Solha Kang W. D. Neve J. Vankerschaver 50 0 0 28 Jan 2025
Landscape of AI safety concerns - A methodology to support safety assurance for AI-based autonomous systems Ronald Schnitzer Lennart Kilian Simon Roessner Konstantinos Theodorou Sonja Zillner 69 0 0 18 Dec 2024
Label Errors in the Tobacco3482 Dataset Gordon Lim Stefan Larson Kevin Leach 72 0 0 17 Dec 2024
NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries Tao Wu Chuhao Zhou Yen Heng Wong Lin Gu Jianfei Yang 74 1 0 14 Dec 2024
Automatic Image Annotation for Mapped Features Detection Maxime Noizet Philippe Xu P. Bonnifait 69 0 0 11 Dec 2024
Noisy Ostracods: A Fine-Grained, Imbalanced Real-World Dataset for Benchmarking Robust Machine Learning and Label Correction Methods Jiamian Hu Yuanyuan Hong Yihua Chen He Wang Moriaki Yasuhara 56 0 0 03 Dec 2024
Towards Fair Pay and Equal Work: Imposing View Time Limits in Crowdsourced Image Classification Gordon Lim Stefan Larson Yu Huang Kevin Leach 73 0 0 29 Nov 2024
Robust Testing for Deep Learning using Human Label Noise Gordon Lim Stefan Larson Kevin Leach NoLa 63 0 0 29 Nov 2024
Flaws of ImageNet, Computer Vision's Favourite Dataset Nikita Kisel Illia Volkov Katerina Hanzelkova Klara Janouskova Jirí Matas VLM 81 1 0 26 Nov 2024
STRisk: A Socio-Technical Approach to Assess Hacking Breaches Risk Hicham Hammouchi Narjisse Nejjari Ghita Mezzour Mounir Ghogho H. Benbrahim 65 0 0 19 Nov 2024
Conformal-in-the-Loop for Learning with Imbalanced Noisy Data J. B. Graham-Knight Jamil Fayyad Nourhan Bayasi Patricia Lasserre H. Najjaran 30 0 0 04 Nov 2024
Label Noise: Ignorance Is Bliss Yilun Zhu Jianxin Zhang Aditya Gangrade Clayton Scott NoLa 21 0 0 31 Oct 2024
DEREC-SIMPRO: unlock Language Model benefits to advance Synthesis in Data Clean Room Tung Sum Thomas Kwok Chi-Hua Wang Guang Cheng SyDa 36 1 0 31 Oct 2024
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance Omer Nahum Nitay Calderon Orgad Keller Idan Szpektor Roi Reichart 23 1 0 24 Oct 2024
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark Thomas George Pierre Nodet A. Bondu Vincent Lemaire VLM 13 0 0 21 Oct 2024
BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG Deeksha M Shama Archana Venkataraman NoLa 18 0 0 17 Oct 2024
Unsupervised Data Validation Methods for Efficient Model Training Yurii Paniv 27 1 0 10 Oct 2024
Targeted synthetic data generation for tabular data via hardness characterization Tommaso Ferracci Leonie Goldmann Anton Hinel Francesco Sanna Passino 66 0 0 01 Oct 2024
Real-time Diverse Motion In-betweening with Space-time Control Yuchen Chu Zeshi Yang DiffM 16 1 0 30 Sep 2024
Fine-tuning Vision Classifiers On A Budget Sunil Kumar Ted Sandler Paulina Varshavskaya VLM 19 0 0 30 Sep 2024
Visual Data Diagnosis and Debiasing with Concept Graphs Rwiddhi Chakraborty Yinong Wang Jialu Gao Runkai Zheng Cheng Zhang Fernando De la Torre 18 2 0 26 Sep 2024
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification Junzhou Chen Zirui Zhang Jing Yu Heqiang Huang Ronghui Zhang Xuemiao Xu Bin Sheng Hong Yan Mamba 35 1 0 09 Sep 2024
On Evaluation of Vision Datasets and Models using Human Competency Frameworks Rahul Ramachandran Tejal Kulkarni Charchit Sharma Deepak Vijaykeerthy Vineeth N Balasubramanian 18 1 0 06 Sep 2024
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Minghao Liu Zonglin Di Jiaheng Wei Zhongruo Wang Hengxiang Zhang ... Haobo Wang Lei Feng Jindong Wang James Davis Yang Liu 16 4 0 21 Aug 2024
Impact of Inaccurate Contamination Ratio on Robust Unsupervised Anomaly Detection Jordan F. Masakuna D'Jeff K. Nkashama Arian Soltani Marc Frappier Pierre Martin Tardif F. Kabanza 19 0 0 14 Aug 2024
A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention João D. Nunes D. Montezuma Domingos Oliveira Tania Pereira Jaime S. Cardoso 31 1 0 26 Jul 2024
Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? Triet Huynh Muhammad Ali Babar 26 2 0 25 Jul 2024
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction Dingyao Yu Yang An Wei Ye Xiongfeng Xiao Shaoguang Mao Tao Ge Shikun Zhang 31 1 0 22 Jul 2024
LEMoN: Label Error Detection using Multimodal Neighbors Haoran Zhang Aparna Balagopalan Nassim Oufattole Hyewon Jeong Yan Wu Jiacheng Zhu Marzyeh Ghassemi 42 0 0 10 Jul 2024
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation Amartya Sanyal Yaxi Hu Yaodong Yu Yian Ma Yixin Wang Bernhard Schölkopf OODD 34 1 0 27 Jun 2024
Debiased Recommendation with Noisy Feedback Haoxuan Li Chunyuan Zheng Wenjie Wang Hao Wang Fuli Feng Xiao-Hua Zhou 33 7 0 24 Jun 2024
You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling Nabeel Seedat Nicolas Huynh F. Imrie Mihaela van der Schaar 29 0 0 19 Jun 2024
FinTruthQA: A Benchmark Dataset for Evaluating the Quality of Financial Information Disclosure Ziyue Xu Peilin Zhou Xinyu Shi Jiageng Wu Yikang Jiang Bin Ke Jie-jin Yang Jie Yang 34 5 0 17 Jun 2024
A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou Benjamin Eysenbach Frank Nielsen Artur Dubrawski UQCV 23 2 0 16 Jun 2024
Data-Centric Label Smoothing for Explainable Glaucoma Screening from Eye Fundus Images Adrian Galdran M. A. G. Ballester 23 0 0 06 Jun 2024
Slight Corruption in Pre-training Data Makes Better Diffusion Models Hao Chen Yujin Han Diganta Misra Xiang Li Kai Hu Difan Zou Masashi Sugiyama Jindong Wang Bhiksha Raj DiffM 43 5 0 30 May 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 19 1 0 30 May 2024
Theoretical Analysis of Weak-to-Strong Generalization Hunter Lang David Sontag Aravindan Vijayaraghavan 21 19 0 25 May 2024