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Improved Robustness to Open Set Inputs via Tempered Mixup

Improved Robustness to Open Set Inputs via Tempered Mixup

Ryne Roady
Tyler L. Hayes
Christopher Kanan
ArXiv (abs)PDFHTML

Papers citing "Improved Robustness to Open Set Inputs via Tempered Mixup"

4 / 4 papers shown
Title
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition
Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-based Win-Win Solution for Open-Set Recognition
Yunbing Jia
Xiaoyu Kong
Fan Tang
Yixing Gao
Weiming Dong
Yi Yang
90
3
0
28 Apr 2024
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability
Chengtai Cao
Fan Zhou
Yurou Dai
Jianping Wang
Kunpeng Zhang
AAML
103
31
0
21 Dec 2022
When and How Mixup Improves Calibration
When and How Mixup Improves Calibration
Linjun Zhang
Zhun Deng
Kenji Kawaguchi
James Zou
UQCV
61
69
0
11 Feb 2021
Combining Ensembles and Data Augmentation can Harm your Calibration
Combining Ensembles and Data Augmentation can Harm your Calibration
Yeming Wen
Ghassen Jerfel
Rafael Muller
Michael W. Dusenberry
Jasper Snoek
Balaji Lakshminarayanan
Dustin Tran
UQCV
136
64
0
19 Oct 2020

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