Confident Learning: Estimating Uncertainty in Dataset Labels

31 October 2019

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

50 / 276 papers shown

Title
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 25 1 0 30 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 6 5 0 19 Dec 2022
Hyperbolic Contrastive Learning for Visual Representations beyond Objects Songwei Ge Shlok Kumar Mishra Simon Kornblith Chun-Liang Li David Jacobs OCL SSL 9 51 0 01 Dec 2022
Birds of a Feather Trust Together: Knowing When to Trust a Classifier via Adaptive Neighborhood Aggregation Miao Xiong Shen Li Wenjie Feng Ailin Deng Jihai Zhang Bryan Hooi 6 6 0 29 Nov 2022
Combating noisy labels in object detection datasets K. Chachula Jakub Lyskawa Bartlomiej Olber Piotr Fratczak A. Popowicz Krystian Radlak NoLa 13 4 0 25 Nov 2022
Identifying Incorrect Annotations in Multi-Label Classification Data Aditya Thyagarajan Elías Snorrason Curtis G. Northcutt Jonas W. Mueller 10 10 0 25 Nov 2022
Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery Awad Abdelhalim Jinhua Zhao AI4TS 11 0 0 22 Nov 2022
Quantifying the Impact of Label Noise on Federated Learning Shuqi Ke Chao Huang Xin Liu FedML 16 7 0 15 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 14 12 0 09 Nov 2022
FedAudio: A Federated Learning Benchmark for Audio Tasks Tuo Zhang Tiantian Feng Samiul Alam Sunwoo Lee Mi Zhang Shrikanth S. Narayanan Salman Avestimehr FedML 20 23 0 27 Oct 2022
Characterizing Datapoints via Second-Split Forgetting Pratyush Maini Saurabh Garg Zachary Chase Lipton J. Zico Kolter 17 34 0 26 Oct 2022
A Survey of Dataset Refinement for Problems in Computer Vision Datasets Zhijing Wan Zhixiang Wang CheukTing Chung Zheng Wang 23 7 0 21 Oct 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 14 4 0 20 Oct 2022
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators Hui Wen Goh Ulyana Tkachenko Jonas W. Mueller 8 10 0 13 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning Seong Min Kye Kwanghee Choi Hyeongmin Byun Buru Chang 21 13 0 13 Oct 2022
Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration Manyi Zhang Yuxin Ren Zihao W. Wang C. Yuan 11 3 0 11 Oct 2022
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training Dan Qiao Chenchen Dai Yuyang Ding Juntao Li Qiang Chen Wenliang Chen M. Zhang VLM NoLa 23 7 0 10 Oct 2022
Detecting Label Errors in Token Classification Data Wei-Chen Wang Jonas W. Mueller 16 13 0 08 Oct 2022
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes Zhaowei Zhu Yuanshun Yao Jiankai Sun Hanguang Li Y. Liu 14 21 0 06 Oct 2022
Identify ambiguous tasks combining crowdsourced labels by weighting Areas Under the Margin Tanguy Lefort Benjamin Charlier Alexis Joly Joseph Salmon 27 5 0 30 Sep 2022
Label Distribution Learning via Implicit Distribution Representation Zhuoran Zheng Xiuyi Jia 12 7 0 28 Sep 2022
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics Shoaib Ahmed Siddiqui Nitarshan Rajkumar Tegan Maharaj David M. Krueger Sara Hooker 30 27 0 20 Sep 2022
Fraud Dataset Benchmark and Applications P. Grover Ju Xu Justin Tittelfitz Anqi Cheng Zheng Li Jakub Zablocki Jianbo Liu Hao Zhou AAML 18 3 0 30 Aug 2022
Two-stage Fall Events Classification with Human Skeleton Data Leiyu Xie Yang Sun Jonathon A. Chambers S. M. Naqvi 16 0 0 25 Aug 2022
Labeling Chaos to Learning Harmony: Federated Learning with Noisy Labels Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 9 11 0 19 Aug 2022
CTRL: Clustering Training Losses for Label Error Detection C. Yue N. Jha NoLa 31 13 0 17 Aug 2022
Topological structure of complex predictions Meng Liu T. Dey D. Gleich 17 3 0 28 Jul 2022
Identifying Hard Noise in Long-Tailed Sample Distribution Xuanyu Yi Kaihua Tang Xiansheng Hua J. Lim Hanwang Zhang 12 20 0 27 Jul 2022
POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion Christian Joppi Geri Skenderi Marco Cristani 16 3 0 22 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 31 96 0 20 Jul 2022
Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification Matthias Rottmann Marco Reese UQCV 12 22 0 13 Jul 2022
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets Yingsong Huang Bing Bai Shengwei Zhao Kun Bai Fei-Yue Wang NoLa 15 43 0 12 Jul 2022
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring Al-Harith Farhad Ioannis Sorokos Andreas Schmidt Mohammed Naveed Akram Koorosh Aslansefat Daniel Schneider 19 3 0 11 Jul 2022
Repairing Neural Networks by Leaving the Right Past Behind Ryutaro Tanno Melanie F. Pradier A. Nori Yingzhen Li KELM 17 31 0 11 Jul 2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation Yifan Zhang Qijian Zhang Zhiyu Zhu Junhui Hou Yixuan Yuan 3DPC 31 52 0 06 Jul 2022
Integrated Weak Learning Peter Hayes Mingtian Zhang Raza Habib Jordan Burgess Emine Yilmaz David Barber 13 1 0 19 Jun 2022
Sparse Double Descent: Where Network Pruning Aggravates Overfitting Zhengqi He Zeke Xie Quanzhi Zhu Zengchang Qin 56 27 0 17 Jun 2022
Learn to Adapt: Robust Drift Detection in Security Domain Aditya Kuppa Nhien-An Le-Khac OOD 15 15 0 15 Jun 2022
2nd Place Solution for ICCV 2021 VIPriors Image Classification Challenge: An Attract-and-Repulse Learning Approach Yilu Guo Shicai Yang Weijie Chen Liang Ma Di Xie Shiliang Pu 13 1 0 13 Jun 2022
Training Subset Selection for Weak Supervision Hunter Lang Aravindan Vijayaraghavan David Sontag NoLa 8 21 0 06 Jun 2022
Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future Jan-Christoph Klie Bonnie Webber Iryna Gurevych 32 43 0 05 Jun 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space Diane Oyen Michal Kucer N. Hengartner H. Singh NoLa OOD 26 13 0 02 Jun 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 33 21 0 25 May 2022
When does dough become a bagel? Analyzing the remaining mistakes on ImageNet Vijay Vasudevan Benjamin Caine Raphael Gontijo-Lopes Sara Fridovich-Keil Rebecca Roelofs VLM UQCV 28 57 0 09 May 2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision Anastasiia Sedova Benjamin Roth 21 0 0 14 Apr 2022
Assessment of Massively Multilingual Sentiment Classifiers Krzysztof Rajda Lukasz Augustyniak Piotr Gramacki Marcin Gruza Szymon Wo'zniak Tomasz Kajdanowicz 12 5 0 11 Apr 2022
Robust Cross-Modal Representation Learning with Progressive Self-Distillation A. Andonian Shixing Chen Raffay Hamid VLM 17 55 0 10 Apr 2022
Modern Views of Machine Learning for Precision Psychiatry Z. Chen Prathamesh Kulkarni Kulkarni I. Galatzer-Levy Benedetta Bigio C. Nasca Yu Zhang 44 88 0 04 Apr 2022
OneLabeler: A Flexible System for Building Data Labeling Tools Yu Zhang Yun Wang Haidong Zhang Bin Zhu Si Chen Dongmei Zhang 22 31 0 27 Mar 2022
Model-free feature selection to facilitate automatic discovery of divergent subgroups in tabular data G. Tadesse William Ogallo C. Cintas Skyler Speakman 4 4 0 08 Mar 2022