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NGC: A Unified Framework for Learning with Open-World Noisy Data

NGC: A Unified Framework for Learning with Open-World Noisy Data

25 August 2021
Zhi-Fan Wu
Tong Wei
Jianwen Jiang
Chaojie Mao
Mingqian Tang
Yu-Feng Li
ArXiv (abs)PDFHTML

Papers citing "NGC: A Unified Framework for Learning with Open-World Noisy Data"

5 / 55 papers shown
Title
SSR: An Efficient and Robust Framework for Learning with Unknown Label
  Noise
SSR: An Efficient and Robust Framework for Learning with Unknown Label Noise
Chen Feng
Georgios Tzimiropoulos
Ioannis Patras
NoLa
94
18
0
22 Nov 2021
Prototypical Classifier for Robust Class-Imbalanced Learning
Prototypical Classifier for Robust Class-Imbalanced Learning
Tong Wei
Jiang-Xin Shi
Yu-Feng Li
Min-Ling Zhang
NoLa
39
16
0
22 Oct 2021
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
309
955
0
21 Oct 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and Opportunities
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
106
96
0
27 May 2021
Learning from Noisy Labels with Deep Neural Networks: A Survey
Learning from Noisy Labels with Deep Neural Networks: A Survey
Hwanjun Song
Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
NoLa
136
1,009
0
16 Jul 2020
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