ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State

30 June 2022

Papers citing "ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State"

5 / 5 papers shown

Title
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation Yan Meng Di Wu Christof Monz 36 1 0 02 Jul 2024
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing M. Hasan Moloud Abdar Abbas Khosravi U. Aickelin Pietro Lio Ibrahim Hossain Ashikur Rahman Saeid Nahavandi 35 4 0 11 Apr 2023
Semi-Supervised Domain Adaptation with Source Label Adaptation Yuhai Yu Hsuan-Tien Lin 28 34 0 05 Feb 2023
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 133 121 0 04 Feb 2021
Combating noisy labels by agreement: A joint training method with co-regularization Hongxin Wei Lei Feng Xiangyu Chen Bo An NoLa 319 499 0 05 Mar 2020