Confident Learning: Estimating Uncertainty in Dataset Labels

31 October 2019

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

26 / 276 papers shown

Title
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification Yi Zhou Lei Huang Tianfei Zhou Ling Shao 4 8 0 26 Feb 2021
Detecting corruption in single-bidder auctions via positive-unlabelled learning N. Goryunova A. Baklanov Egor Ianovski 16 2 0 10 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 6 90 0 10 Feb 2021
Learning From How Humans Correct Tonglei Guo NoLa 6 1 0 30 Jan 2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun 384 142 0 13 Jan 2021
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction Jhih-Wei Chen Tsu-jui Fu Chen-Kang Lee Wei-Yun Ma 6 8 0 07 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case Studies Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 9 387 0 18 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 8 1,871 0 12 Nov 2020
Fair Classification with Group-Dependent Label Noise Jialu Wang Yang Liu Caleb C. Levy NoLa 6 99 0 31 Oct 2020
Bayesian Neural Networks with Soft Evidence Edward Yu UQCV BDL 7 0 0 19 Oct 2020
Paying down metadata debt: learning the representation of concepts using topic models Jiahao Chen Manuela Veloso 8 1 0 09 Oct 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification Wendi Ren Yinghao Li Hanting Su David Kartchner Cassie S. Mitchell Chao Zhang NoLa 12 70 0 09 Oct 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 8 14 0 05 Oct 2020
FSD50K: An Open Dataset of Human-Labeled Sound Events Eduardo Fonseca Xavier Favory Jordi Pons F. Font Xavier Serra 6 433 0 01 Oct 2020
A Multimodal Late Fusion Model for E-Commerce Product Classification Ye Bi Shuo Wang Zhongrui Fan 8 9 0 14 Aug 2020
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification Yan Zhang Zhilin Zheng Binyu He Li Sun UQCV UD 9 0 0 17 Jul 2020
TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise Amirmasoud Ghiassi Taraneh Younesian Robert Birke L. Chen NoLa 8 5 0 13 Jul 2020
TIMELY: Improving Labeling Consistency in Medical Imaging for Cell Type Classification Yushan Liu M. M. Geipel C. Tietz Florian Buettner 13 2 0 10 Jul 2020
KIT MOMA: A Mobile Machines Dataset Yusheng Xiang Hongzhe Wang Tianqing Su Ruoyu Li Christine Brach Samuel S. Mao M. Geimer 6 6 0 08 Jul 2020
Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions in Medical Domain Takahiro Mimori Keiko Sasada H. Matsui Issei Sato UQCV 6 6 0 03 Jul 2020
Are we done with ImageNet? Lucas Beyer Olivier J. Hénaff Alexander Kolesnikov Xiaohua Zhai Aaron van den Oord VLM 8 394 0 12 Jun 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras Shibani Santurkar Logan Engstrom Andrew Ilyas A. Madry 4 127 0 22 May 2020
Addressing Missing Labels in Large-Scale Sound Event Recognition Using a Teacher-Student Framework With Loss Masking Eduardo Fonseca Shawn Hershey Manoj Plakal D. Ellis A. Jansen R. C. Moore Xavier Serra NoLa 17 23 0 02 May 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 32 260 0 28 Jan 2020
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks Athanasios Davvetas I. Klampanos 9 0 0 22 Dec 2019
Decontamination of Mutual Contamination Models Julian Katz-Samuels Gilles Blanchard Clayton Scott 58 23 0 30 Sep 2017