Label Noise Types and Their Effects on Deep Learning

23 March 2020

Papers citing "Label Noise Types and Their Effects on Deep Learning"

9 / 9 papers shown

Title
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance Bo Yuan Yulin Chen Yin Zhang Wei Jiang NoLa 40 6 0 03 Apr 2025
Ambiguous Annotations: When is a Pedestrian not a Pedestrian? Luisa Schwirten Jannes Scholz Daniel Kondermann Janis Keuper 38 2 0 14 May 2024
Combining Self-labeling with Selective Sampling Jedrzej Kozal Michal Wo'zniak 26 3 0 11 Jan 2023
Establishment of Neural Networks Robust to Label Noise Pengwei Yang Angel Teng Jack Mangos NoLa 19 0 0 28 Nov 2022
RoS-KD: A Robust Stochastic Knowledge Distillation Approach for Noisy Medical Imaging A. Jaiswal Kumar Ashutosh Justin F. Rousseau Yifan Peng Zhangyang Wang Ying Ding 20 9 0 15 Oct 2022
Detecting Label Errors by using Pre-Trained Language Models Derek Chong Jenny Hong Christopher D. Manning NoLa 55 21 0 25 May 2022
Generalized Data Weighting via Class-level Gradient Manipulation Can Chen Shuhao Zheng Xi Chen Erqun Dong Xue Liu Hao Liu Dejing Dou 35 24 0 29 Oct 2021
On the Robustness of Monte Carlo Dropout Trained with Noisy Labels Purvi Goel Li Chen NoLa 36 15 0 22 Mar 2021
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 30 38 0 11 Jul 2020