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Energy-based Preference Optimization for Test-time Adaptation

Energy-based Preference Optimization for Test-time Adaptation

26 May 2025
Yewon Han
Seoyun Yang
Taesup Kim
    TTA
ArXivPDFHTML

Papers citing "Energy-based Preference Optimization for Test-time Adaptation"

13 / 13 papers shown
Title
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
Daouda Sow
Herbert Woisetschläger
Saikiran Bulusu
Shiqiang Wang
Hans-Arno Jacobsen
Yingbin Liang
108
4
0
10 Feb 2025
Resilient Practical Test-Time Adaptation: Soft Batch Normalization
  Alignment and Entropy-driven Memory Bank
Resilient Practical Test-Time Adaptation: Soft Batch Normalization Alignment and Entropy-driven Memory Bank
Xingzhi Zhou
Zhiliang Tian
Ka Chun Cheung
Simon See
Nevin L. Zhang
47
2
0
26 Jan 2024
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Mario Döbler
Robert A. Marsden
Bin Yang
OOD
TTA
49
90
0
23 Nov 2022
Continual Test-Time Domain Adaptation
Continual Test-Time Domain Adaptation
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
90
412
0
25 Mar 2022
JEM++: Improved Techniques for Training JEM
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
43
30
0
19 Sep 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang
Yue Liu
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
39
49
0
27 Jul 2021
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
277
689
0
19 Oct 2020
Energy-based Out-of-distribution Detection
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Yixuan Li
OODD
208
1,332
0
08 Oct 2020
Improving robustness against common corruptions by covariate shift
  adaptation
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
62
476
0
30 Jun 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat
  it Like One
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
74
536
0
06 Dec 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward
  Energy-Based Model
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
58
210
0
22 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
107
3,399
0
28 Mar 2019
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
844
149,474
0
22 Dec 2014
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