Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion

10 February 2019

Papers citing "Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion"

30 / 30 papers shown

Title
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations David Tschirschwitz Volker Rodehorst 26 1 0 14 Sep 2024
Learning from Noisy Labels for Long-tailed Data via Optimal Transport Mengting Li Chuang Zhu 39 0 0 07 Aug 2024
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 30 0 0 18 Jul 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels Jichang Li Guanbin Li Hui Cheng Zicheng Liao Yizhou Yu FedML 32 14 0 19 Dec 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 51 13 0 23 Aug 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 23 9 0 05 Apr 2023
Knockoffs-SPR: Clean Sample Selection in Learning with Noisy Labels Yikai Wang Yanwei Fu Xinwei Sun NoLa 52 8 0 02 Jan 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 58 2 0 02 Jan 2023
Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters Junde Wu Huihui Fang Yehui Yang Yuanpei Liu Jing Gao Lixin Duan Weihua Yang Yanwu Xu 16 2 0 01 Dec 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
A Semi-Supervised Algorithm for Improving the Consistency of Crowdsourced Datasets: The COVID-19 Case Study on Respiratory Disorder Classification Lara Orlandic T. Teijeiro David Atienza 41 9 0 09 Sep 2022
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label Propagation Jun Zhuang M. Hasan 28 20 0 21 Aug 2022
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principle Junde Wu Huihui Fang Hoayi Xiong Lixin Duan Mingkui Tan Weihua Yang Huiying Liu Yanwu Xu MedIm 41 1 0 05 Aug 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal J. Schnabel 25 22 0 29 Jun 2022
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection Mingtao Feng Li-Yu Daisy Liu Liangkai Zhang Hongshan Yu Yaonan Wang Ajmal Saeed Mian 21 18 0 28 Apr 2022
Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval A. Bhunia Subhadeep Koley Abdullah Faiz Ur Rahman Khilji Aneeshan Sain Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song AAML 22 42 0 28 Mar 2022
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 13 61 0 27 Oct 2021
Clean or Annotate: How to Spend a Limited Data Collection Budget Derek Chen Zhou Yu Samuel R. Bowman 27 13 0 15 Oct 2021
Truth Discovery in Sequence Labels from Crowds Nasim Sabetpour Adithya Kulkarni Sihong Xie Qi Li 31 16 0 09 Sep 2021
Co-learning: Learning from Noisy Labels with Self-supervision Cheng Tan Jun-Xiong Xia Lirong Wu Stan Z. Li NoLa 73 116 0 05 Aug 2021
Modality specific U-Net variants for biomedical image segmentation: A survey Narinder Singh Punn Sonali Agarwal SSeg 26 144 0 09 Jul 2021
Learning from Multiple Annotators by Incorporating Instance Features Jingzheng Li Hailong Sun Jiyi Li Zhijun Chen Renshuai Tao Yufei Ge NoLa 21 5 0 29 Jun 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 24 10 0 05 May 2021
DST: Data Selection and joint Training for Learning with Noisy Labels Yi Wei Xue Mei Xin Liu Pengxiang Xu NoLa 19 3 0 01 Mar 2021
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation Lie Ju Xin Eric Wang Lin Wang Dwarikanath Mahapatra Xin Zhao Mehrtash Harandi Tom Drummond Tongliang Liu Z. Ge NoLa OOD 30 22 0 28 Feb 2021
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang Jianwen Xie Nick Barnes NoLa 50 57 0 23 Jul 2020
Deep learning with noisy labels: exploring techniques and remedies in medical image analysis Davood Karimi Haoran Dou Simon K. Warfield Ali Gholipour NoLa 11 534 0 05 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 18 262 0 29 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels Curtis G. Northcutt Lu Jiang Isaac L. Chuang NoLa 36 674 0 31 Oct 2019
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 292 10,613 0 19 Feb 2017