Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space

2 June 2022

Papers citing "Robustness to Label Noise Depends on the Shape of the Noise Distribution in Feature Space"

9 / 9 papers shown

Title
Revealing economic facts: LLMs know more than they say Marcus Buckmann Quynh Anh Nguyen Edward Hill 28 0 0 13 May 2025
Regretful Decisions under Label Noise Sujay Nagaraj Yang Liu Flavio du Pin Calmon Berk Ustun NoLa 58 1 0 12 Apr 2025
Label Noise: Ignorance Is Bliss Yilun Zhu Jianxin Zhang Aditya Gangrade Clayton Scott NoLa 34 2 0 31 Oct 2024
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection Suyeon Kim Dongha Lee SeongKu Kang Sukang Chae Sanghwan Jang Hwanjo Yu 32 1 0 30 May 2024
A noisy elephant in the room: Is your out-of-distribution detector robust to label noise? Galadrielle Humblot-Renaux Sergio Escalera T. Moeslund OODD UQCV NoLa 31 5 0 02 Apr 2024
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets? Bidur Khanal Binod Bhattarai Bishesh Khanal Cristian A. Linte NoLa 21 0 0 15 Jan 2024
Improving classifier decision boundaries using nearest neighbors Johannes Schneider AAML 33 0 0 05 Oct 2023
Evaluating AI systems under uncertain ground truth: a case study in dermatology David Stutz A. Cemgil Abhijit Guha Roy Tatiana Matejovicova Melih Barsbey ... Yossi Matias Pushmeet Kohli Yun-hui Liu Arnaud Doucet Alan Karthikesalingam 30 4 0 05 Jul 2023
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014