Energy-Based Test Sample Adaptation for Domain Generalization

Energy-Based Test Sample Adaptation for Domain Generalization

22 February 2023

Cees G. M. Snoek

Papers citing "Energy-Based Test Sample Adaptation for Domain Generalization"

18 / 18 papers shown

Title
Model Adaptation: Unsupervised Domain Adaptation without Source Data Rui Li Qianfen Jiao Wenming Cao Hau-San Wong Si Wu OOD 152 482 0 26 Feb 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 87 0 0 15 Feb 2025
Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen Zehao Xiao Xiantong Zhen Cees G. M. Snoek Marcel Worring OOD 81 7 0 10 Oct 2022
Learning to Generalize across Domains on Single Test Samples Zehao Xiao Xiantong Zhen Ling Shao Cees G. M. Snoek OOD 37 31 0 16 Feb 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 67 21 0 15 Dec 2021
Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie Arash Vahdat Anima Anandkumar 32 79 0 21 Oct 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization Kartik Ahuja Ethan Caballero Dinghuai Zhang Jean-Christophe Gagnon-Audet Yoshua Bengio Ioannis Mitliagkas Irina Rish OOD 25 258 0 11 Jun 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 257 438 0 17 Feb 2021
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 145 1,332 0 08 Oct 2020
Transformer Based Multi-Source Domain Adaptation Dustin Wright Isabelle Augenstein 32 53 0 16 Sep 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 50 536 0 06 Dec 2019
Domain Generalization via Model-Agnostic Learning of Semantic Features Qi Dou Daniel Coelho De Castro Konstantinos Kamnitsas Ben Glocker OOD 73 688 0 29 Oct 2019
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 59 7,386 0 02 Oct 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 545 4,735 0 13 May 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 41 210 0 22 Apr 2019
On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models Erik Nijkamp Mitch Hill Tian Han Song-Chun Zhu Ying Nian Wu 23 154 0 29 Mar 2019
Generalizing to Unseen Domains via Adversarial Data Augmentation Riccardo Volpi Hongseok Namkoong Ozan Sener John C. Duchi Vittorio Murino Silvio Savarese OOD 69 773 0 30 May 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 733 11,793 0 09 Mar 2017