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Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
13 July 2021
Yang Liu
Jialu Wang
NoLa
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Papers citing
"Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial"
4 / 4 papers shown
Title
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
Zhaowei Zhu
Jialu Wang
Yang Liu
NoLa
19
37
0
02 Feb 2022
To Smooth or Not? When Label Smoothing Meets Noisy Labels
Jiaheng Wei
Hangyu Liu
Tongliang Liu
Gang Niu
Masashi Sugiyama
Yang Liu
NoLa
25
69
0
08 Jun 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
185
2,082
0
24 Oct 2016
1