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Learning Sample Reweighting for Accuracy and Adversarial Robustness

Learning Sample Reweighting for Accuracy and Adversarial Robustness

20 October 2022
Chester Holtz
Tsui-Wei Weng
Zhengchao Wan
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Sample Reweighting for Accuracy and Adversarial Robustness"

5 / 5 papers shown
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
Yiming Zhang
Chester Holtz
Gal Mishne
A. Cloninger
NoLa
242
0
0
14 Oct 2025
Improving Generalization via Meta-Learning on Hard Samples
Improving Generalization via Meta-Learning on Hard SamplesComputer Vision and Pattern Recognition (CVPR), 2024
Nishant Jain
A. Suggala
Pradeep Shenoy
OODOffRL
273
9
0
18 Mar 2024
A Short Survey on Importance Weighting for Machine Learning
A Short Survey on Importance Weighting for Machine Learning
Masanari Kimura
H. Hino
307
12
0
15 Mar 2024
An Introduction to Bi-level Optimization: Foundations and Applications
  in Signal Processing and Machine Learning
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2023
Yihua Zhang
Prashant Khanduri
Ioannis C. Tsaknakis
Yuguang Yao
Min-Fong Hong
Sijia Liu
AI4CE
411
56
0
01 Aug 2023
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark Gales
AAML
345
4
0
30 Jan 2023
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