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Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable
  Neural Distribution Alignment

Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment

26 March 2020
Ben Usman
Avneesh Sud
Nick Dufour
Kate Saenko
    OOD
ArXivPDFHTML

Papers citing "Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment"

2 / 2 papers shown
Title
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
TTTFlow: Unsupervised Test-Time Training with Normalizing Flow
David Osowiechi
G. A. V. Hakim
Mehrdad Noori
Milad Cheraghalikhani
Ismail Ben Ayed
Christian Desrosiers
OOD
27
22
0
20 Oct 2022
Fair Normalizing Flows
Fair Normalizing Flows
Mislav Balunović
Anian Ruoss
Martin Vechev
AAML
19
36
0
10 Jun 2021
1