Noisy Label Learning With Provable Consistency for a Wider Family of Losses-Reference-Cited by-同舟云学术

Noisy Label Learning With Provable Consistency for a Wider Family of Losses

Published:2023-11-01 Issue:11 Volume:45 Page:13536-13552
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Liu Defu¹^ORCID,Li Wen¹^ORCID,Duan Lixin¹^ORCID,Tsang Ivor W.²^ORCID,Yang Guowu¹^ORCID

Affiliation:

1. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. Centre for Frontier AI Research (CFAR) and Institute of High-Performance Computing (IHPC)Agency for Science, Technology and Research (A*STAR), Singapore

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10269680/10185026.pdf?arnumber=10185026

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5. ImageNet classification with deep convolutional neural networks

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