Confident Learning: Estimating Uncertainty in Dataset Labels

31 October 2019

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

50 / 276 papers shown

Title
Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act Benedikt Lorch Nicole Scheler Christian Riess 6 5 0 01 Mar 2022
Towards Robust Off-policy Learning for Runtime Uncertainty Da Xu Yuting Ye Chuanwei Ruan Bo Yang OffRL 12 5 0 27 Feb 2022
Dropout can Simulate Exponential Number of Models for Sample Selection Techniques RD Samsung 20 0 0 26 Feb 2022
Identifiability of Label Noise Transition Matrix Yang Liu Hao Cheng Kun Zhang NoLa 25 42 0 04 Feb 2022
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers Deebul Nair Nico Hochgeschwender Miguel A. Olivares-Mendez OOD 11 7 0 03 Feb 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features Zhaowei Zhu Jialu Wang Yang Liu NoLa 13 37 0 02 Feb 2022
Assessing Cross-dataset Generalization of Pedestrian Crossing Predictors Joseph Gesnouin Steve Pechberti B. Stanciulescu Fabien Moutarde 20 12 0 29 Jan 2022
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion Han Liu Yubo Fan C. Cui Dingjie Su A. McNeil Benoit M. Dawant 11 5 0 25 Jan 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip H. S. Torr Ponnurangam Kumaraguru AAML ELM MU 22 44 0 17 Jan 2022
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea Segmentation R. Dorent A. Kujawa M. Ivory Spyridon Bakas Nicola Rieke ... Kai Yao Li Zhang Sebastien Ourselin J. Shapey Tom Kamiel Magda Vercauteren OOD 18 76 0 08 Jan 2022
Fix your Models by Fixing your Datasets Atindriyo Sanyal Vikram Chatterji Nidhi Vyas Ben Epstein Nikita Demir Anthony Corletti 13 3 0 15 Dec 2021
Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks Paul Röttger Bertie Vidgen Dirk Hovy J. Pierrehumbert 14 11 0 14 Dec 2021
Challenges and Solutions to Build a Data Pipeline to Identify Anomalies in Enterprise System Performance Xiaobo Huang Amit Banerjee Chien-Chia Chen Chengzhi Huang Tzu Yi Chuang Abhishek Srivastava R. Cheveresan 8 1 0 13 Dec 2021
Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao Lu Jiang Mostafa Dehghani Carl Vondrick Rahul Sukthankar Irfan Essa ViT 19 43 0 20 Nov 2021
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks Oliver Neumann Nicole Ludwig Marian Turowski Benedikt Heidrich V. Hagenmeyer Ralf Mikut AI4TS 23 1 0 17 Nov 2021
An Empirical Study of Finding Similar Exercises Tongwen Huang Xihua Li 11 3 0 16 Nov 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning Yongchan Kwon James Y. Zou TDI 20 122 0 26 Oct 2021
ES-ImageNet: A Million Event-Stream Classification Dataset for Spiking Neural Networks Yihan Lin Wei Ding Shaohua Qiang Lei Deng Guoqi Li AI4TS 14 31 0 23 Oct 2021
Mitigating Memorization of Noisy Labels via Regularization between Representations Hao Cheng Zhaowei Zhu Xing Sun Yang Liu NoLa 25 28 0 18 Oct 2021
Detecting Corrupted Labels Without Training a Model to Predict Zhaowei Zhu Zihao Dong Yang Liu NoLa 141 61 0 12 Oct 2021
Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond) Kristof Meding Luca M. Schulze Buschoff Robert Geirhos Felix Wichmann 28 40 0 12 Oct 2021
Cross-Modality Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation Han Liu Yubo Fan C. Cui Dingjie Su A. McNeil Benoit M. Dawant 23 2 0 13 Sep 2021
EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling Jue Wang Haofan Wang Jincan Deng Weijia Wu Debing Zhang VLM CLIP 57 18 0 10 Sep 2021
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets Nitin Gupta Hima Patel S. Afzal Naveen Panwar Ruhi Sharma Mittal ... S. Mehta Sandeep Hans P. Lohia Aniya Aggarwal Diptikalyan Saha 17 40 0 12 Aug 2021
An Instance-Dependent Simulation Framework for Learning with Label Noise Keren Gu Xander Masotto Vandana Bachani Balaji Lakshminarayanan Jack Nikodem Dong Yin NoLa 6 24 0 23 Jul 2021
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation Shuailin Li Zhitong Gao Xuming He NoLa 14 26 0 21 Jul 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial Yang Liu Jialu Wang NoLa 8 18 0 13 Jul 2021
Understanding Intrinsic Robustness Using Label Uncertainty Xiao Zhang David E. Evans OOD 17 5 0 07 Jul 2021
An Ensemble Noise-Robust K-fold Cross-Validation Selection Method for Noisy Labels Yong Wen Marcus Kalander Chanfei Su Lujia Pan NoLa 14 6 0 06 Jul 2021
Utilizing a digital swarm intelligence platform to improve consensus among radiologists and exploring its applications Rutwik Shah B. Astuto Tyler J. Gleason W. Fletcher J. Banaga ... Kevin C. McGill T. Link J. Crane V. Pedoia S. Majumdar 12 2 0 26 Jun 2021
Improving Label Quality by Jointly Modeling Items and Annotators Tharindu Cyril Weerasooriya Alexander Ororbia Christopher Homan BDL 11 2 0 20 Jun 2021
To Smooth or Not? When Label Smoothing Meets Noisy Labels Jiaheng Wei Hangyu Liu Tongliang Liu Gang Niu Masashi Sugiyama Yang Liu NoLa 17 68 0 08 Jun 2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation Yong Cheng Wei Wang Lu Jiang Wolfgang Macherey 16 17 0 08 Jun 2021
Interactive Label Cleaning with Example-based Explanations Stefano Teso A. Bontempelli Fausto Giunchiglia Andrea Passerini 16 45 0 07 Jun 2021
Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation Zhe Xu Donghuan Lu Yixin Wang Jie Luo J. Jagadeesan Kai Ma Yefeng Zheng Xiu Li 16 48 0 03 Jun 2021
Weakly Supervised Learning Creates a Fusion of Modeling Cultures Chengliang Tang Gan Yuan Tian Zheng 17 1 0 02 Jun 2021
Cleaning and Structuring the Label Space of the iMet Collection 2020 Vivien Nguyen Sunnie S. Y. Kim 11 0 0 01 Jun 2021
Instance Correction for Learning with Open-set Noisy Labels Xiaobo Xia Tongliang Liu Bo Han Mingming Gong Jun Yu Gang Niu Masashi Sugiyama NoLa 8 12 0 01 Jun 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness Glenn Dawson R. Polikar NoLa 28 3 0 28 May 2021
Automated scoring of pre-REM sleep in mice with deep learning Niklas Grieger J. Schwabedal Stefanie Wendel Y. Ritze Stephan Bialonski 23 18 0 05 May 2021
Faster Meta Update Strategy for Noise-Robust Deep Learning Youjiang Xu Linchao Zhu Lu Jiang Yi Yang 14 51 0 30 Apr 2021
Knodle: Modular Weakly Supervised Learning with PyTorch Anastasiia Sedova Andreas Stephan M. Speranskaya Benjamin Roth 11 8 0 23 Apr 2021
Regularizing Generative Adversarial Networks under Limited Data Hung-Yu Tseng Lu Jiang Ce Liu Ming-Hsuan Yang Weilong Yang GAN 11 142 0 07 Apr 2021
Learning from Noisy Labels via Dynamic Loss Thresholding Hao Yang Youzhi Jin Zi-Hua Li Deng-Bao Wang Lei Miao Xin Geng Min-Ling Zhang NoLa AI4CE 16 6 0 01 Apr 2021
Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition Jiahui She Yibo Hu Hailin Shi Jun Wang Qiu Shen Tao Mei 12 183 0 01 Apr 2021
Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning Csaba Kertész VLM SSL 13 45 0 30 Mar 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 20 511 0 26 Mar 2021
Approximating Instance-Dependent Noise via Instance-Confidence Embedding Yivan Zhang Masashi Sugiyama 28 8 0 25 Mar 2021
Hypothesis Testing for Class-Conditional Label Noise Rafael Poyiadzi Weisong Yang Niall Twomey Raúl Santos-Rodríguez NoLa 11 0 0 03 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models Jialin Peng Ye Wang VLM 14 58 0 28 Feb 2021