Can Less be More? When Increasing-to-Balancing Label Noise Rates
Considered Beneficial

Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial

13 July 2021

Yang Liu

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