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2505.19607
Cited By
Energy-based Preference Optimization for Test-time Adaptation
26 May 2025
Yewon Han
Seoyun Yang
Taesup Kim
TTA
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Papers citing
"Energy-based Preference Optimization for Test-time Adaptation"
34 / 34 papers shown
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
International Conference on Learning Representations (ICLR), 2025
Daouda Sow
Herbert Woisetschläger
Saikiran Bulusu
Shiqiang Wang
Hans-Arno Jacobsen
Yingbin Liang
415
14
0
10 Feb 2025
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay
Yongcan Yu
Lijun Sheng
Ran He
Jian Liang
TTA
378
15
0
22 Jul 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning
Jiangpeng He
Fengqing Zhu
CLL
377
46
0
28 Feb 2024
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
236
3
0
26 Jan 2024
TEA: Test-time Energy Adaptation
Computer Vision and Pattern Recognition (CVPR), 2023
Yige Yuan
Bingbing Xu
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
VLM
389
29
0
24 Nov 2023
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation
Damian Sójka
Sebastian Cygert
Bartlomiej Twardowski
Tomasz Trzciñski
TTA
334
12
0
18 Sep 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Neural Information Processing Systems (NeurIPS), 2023
Tobias Schröder
Chinmay Pani
Jen Ning Lim
Yingzhen Li
Sebastian J. Vollmer
Andrew B. Duncan
498
14
0
12 Jul 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Neural Information Processing Systems (NeurIPS), 2023
Rafael Rafailov
Archit Sharma
E. Mitchell
Stefano Ermon
Christopher D. Manning
Chelsea Finn
ALM
1.1K
7,739
0
29 May 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model
IEEE International Conference on Computer Vision (ICCV), 2023
Qiushan Guo
Chuofan Ma
Yi Jiang
Zehuan Yuan
Yizhou Yu
Ping Luo
DiffM
393
15
0
04 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Computer Vision and Pattern Recognition (CVPR), 2023
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
382
206
0
24 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
International Conference on Learning Representations (ICLR), 2023
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Zhuliang Yu
TTA
472
444
0
24 Feb 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
Computer Vision and Pattern Recognition (CVPR), 2022
Mario Döbler
Robert A. Marsden
Bin Yang
OOD
TTA
384
127
0
23 Nov 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
Neural Information Processing Systems (NeurIPS), 2022
Taesik Gong
Jongheon Jeong
Taewon Kim
Yewon Kim
Jinwoo Shin
Sung-Ju Lee
OOD
TTA
506
181
0
10 Aug 2022
Efficient Test-Time Model Adaptation without Forgetting
International Conference on Machine Learning (ICML), 2022
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Zhuliang Yu
OOD
VLM
TTA
422
534
0
06 Apr 2022
Continual Test-Time Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2022
Qin Wang
Olga Fink
Luc Van Gool
Dengxin Dai
OOD
TTA
406
621
0
25 Mar 2022
Training language models to follow instructions with human feedback
Neural Information Processing Systems (NeurIPS), 2022
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
2.3K
19,225
0
04 Mar 2022
JEM++: Improved Techniques for Training JEM
Xiulong Yang
Shihao Ji
AAML
VLM
298
35
0
19 Sep 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
IEEE International Conference on Computer Vision (ICCV), 2021
Yezhen Wang
Yue Liu
Tong Che
Kaiyang Zhou
Ziwei Liu
Dongsheng Li
UQCV
313
75
0
27 Jul 2021
Exponentiated Gradient Reweighting for Robust Training Under Label Noise and Beyond
Negin Majidi
Ehsan Amid
Hossein Talebi
Manfred K. Warmuth
NoLa
215
20
0
03 Apr 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Tianxing He
Bryan McCann
Caiming Xiong
Ehsan Hosseini-Asl
171
25
0
18 Jan 2021
How to Train Your Energy-Based Models
Yang Song
Diederik P. Kingma
DiffM
526
321
0
09 Jan 2021
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
865
857
0
19 Oct 2020
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Shouqing Yang
OODD
1.3K
1,801
0
08 Oct 2020
Improving robustness against common corruptions by covariate shift adaptation
Steffen Schneider
E. Rusak
L. Eck
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
470
610
0
30 Jun 2020
Residual Energy-Based Models for Text Generation
Yuntian Deng
A. Bakhtin
Myle Ott
Arthur Szlam
MarcÁurelio Ranzato
279
146
0
22 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
International Conference on Machine Learning (ICML), 2020
Jian Liang
Dapeng Hu
Jiashi Feng
680
1,578
0
20 Feb 2020
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One
International Conference on Learning Representations (ICLR), 2019
Will Grathwohl
Kuan-Chieh Wang
J. Jacobsen
David Duvenaud
Mohammad Norouzi
Kevin Swersky
VLM
603
627
0
06 Dec 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model
Erik Nijkamp
Mitch Hill
Song-Chun Zhu
Ying Nian Wu
536
233
0
22 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OOD
VLM
2.9K
4,192
0
28 Mar 2019
On Calibration of Modern Neural Networks
International Conference on Machine Learning (ICML), 2017
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
2.2K
7,441
0
14 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
International Conference on Learning Representations (ICLR), 2016
Dan Hendrycks
Kevin Gimpel
UQCV
1.6K
4,127
0
07 Oct 2016
Deep Directed Generative Models with Energy-Based Probability Estimation
Taesup Kim
Yoshua Bengio
GAN
273
140
0
10 Jun 2016
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
1.2K
8,759
0
23 May 2016
Adam: A Method for Stochastic Optimization
International Conference on Learning Representations (ICLR), 2014
Diederik P. Kingma
Jimmy Ba
ODL
4.9K
164,280
0
22 Dec 2014
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