Energy-based Preference Optimization for Test-time Adaptation

26 May 2025

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

34 / 34 papers shown

Title
Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining Daouda Sow Herbert Woisetschläger Saikiran Bulusu Shiqiang Wang Hans-Arno Jacobsen Yingbin Liang 139 6 0 10 Feb 2025
STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay Yongcan Yu Lijun Sheng Ran He Jian Liang TTA 87 6 0 22 Jul 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning Jiangpeng He Fengqing Zhu CLL 99 22 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 73 3 0 26 Jan 2024
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 83 11 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 53 8 0 18 Sep 2023
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models Tobias Schröder Zijing Ou Jen Ning Lim Yingzhen Li Sebastian J. Vollmer Andrew B. Duncan 69 7 0 12 Jul 2023
Direct Preference Optimization: Your Language Model is Secretly a Reward Model Rafael Rafailov Archit Sharma E. Mitchell Stefano Ermon Christopher D. Manning Chelsea Finn ALM 405 4,184 0 29 May 2023
EGC: Image Generation and Classification via a Diffusion Energy-Based Model Qiushan Guo Chuofan Ma Yi Jiang Zehuan Yuan Yizhou Yu Ping Luo DiffM 82 8 0 04 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan Binhui Xie Shuangliang Li TTA 101 126 0 24 Mar 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World Shuaicheng Niu Jiaxiang Wu Yifan Zhang Z. Wen Yaofo Chen P. Zhao Mingkui Tan TTA 116 281 0 24 Feb 2023
Robust Mean Teacher for Continual and Gradual Test-Time Adaptation Mario Döbler Robert A. Marsden Bin Yang OOD TTA 76 90 0 23 Nov 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation Taesik Gong Jongheon Jeong Taewon Kim Yewon Kim Jinwoo Shin Sung-Ju Lee OOD TTA 129 132 0 10 Aug 2022
Efficient Test-Time Model Adaptation without Forgetting Shuaicheng Niu Jiaxiang Wu Yifan Zhang Yaofo Chen S. Zheng P. Zhao Mingkui Tan OOD VLM TTA 100 353 0 06 Apr 2022
Continual Test-Time Domain Adaptation Qin Wang Olga Fink Luc Van Gool Dengxin Dai OOD TTA 114 432 0 25 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 930 13,272 0 04 Mar 2022
JEM++: Improved Techniques for Training JEM Xiulong Yang Shihao Ji AAML VLM 70 31 0 19 Sep 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Yue Liu Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 93 51 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 63 19 0 03 Apr 2021
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models Tianxing He Bryan McCann Caiming Xiong Ehsan Hosseini-Asl 45 22 0 18 Jan 2021
How to Train Your Energy-Based Models Yang Song Diederik P. Kingma DiffM 102 265 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 355 707 0 19 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 352 1,382 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 101 485 0 30 Jun 2020
Residual Energy-Based Models for Text Generation Yuntian Deng A. Bakhtin Myle Ott Arthur Szlam MarcÁurelio Ranzato 102 133 0 22 Apr 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation Jian Liang Dapeng Hu Jiashi Feng 138 1,255 0 20 Feb 2020
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 108 547 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 124 214 0 22 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 200 3,462 0 28 Mar 2019
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 301 5,891 0 14 Jun 2017
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks Dan Hendrycks Kevin Gimpel UQCV 223 3,488 0 07 Oct 2016
Deep Directed Generative Models with Energy-Based Probability Estimation Taesup Kim Yoshua Bengio GAN 100 136 0 10 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 403 8,013 0 23 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.4K 150,597 0 22 Dec 2014