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2005.00568
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Adversarial domain adaptation to reduce sample bias of a high energy physics classifier
1 May 2020
Jose M. Clavijo
Paul Glaysher
Judith M. Katzy
J. Jitsev
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Papers citing
"Adversarial domain adaptation to reduce sample bias of a high energy physics classifier"
6 / 6 papers shown
Title
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Nankai Lin
Hongyan Wu
Zhengming Chen
Zijian Li
Lianxi Wang
Shengyi Jiang
Dong Zhou
Aimin Yang
41
0
0
07 Jun 2024
Interpretable Uncertainty Quantification in AI for HEP
Thomas Y. Chen
B. Dey
A. Ghosh
Michael Kagan
Brian D. Nord
Nesar Ramachandra
35
7
0
05 Aug 2022
Bias and Priors in Machine Learning Calibrations for High Energy Physics
Rikab Gambhir
Benjamin Nachman
Jesse Thaler
AI4CE
32
7
0
10 May 2022
Exploring the Universality of Hadronic Jet Classification
K. Cheung
Yi Chung
Shih-Chieh Hsu
Benjamin Nachman
17
2
0
08 Apr 2022
Online-compatible Unsupervised Non-resonant Anomaly Detection
Vinicius Mikuni
Benjamin Nachman
David Shih
31
35
0
11 Nov 2021
A Cautionary Tale of Decorrelating Theory Uncertainties
A. Ghosh
Benjamin Nachman
30
17
0
16 Sep 2021
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