A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

27 March 2023

Jian Liang

Papers citing "A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts"

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Title
FRET: Feature Redundancy Elimination for Test Time Adaptation Linjing You Jiabao Lu Xiayuan Huang Xiangli Nie 14 0 0 15 May 2025
Focus on the Likely: Test-time Instance-based Uncertainty Removal Johannes Schneider 35 0 0 02 May 2025
Test-time Correlation Alignment Linjing You Jiabao Lu Xiayuan Huang OOD 75 0 0 01 May 2025
TTRL: Test-Time Reinforcement Learning Yuxin Zuo Kaiyan Zhang Shang Qu Li Sheng Xuekai Zhu Biqing Qi Youbang Sun Ganqu Cui Ning Ding Bowen Zhou OffRL 144 1 0 22 Apr 2025
BoTTA: Benchmarking on-device Test Time Adaptation Michal Danilowski Soumyajit Chatterjee Abhirup Ghosh TTA 72 0 0 14 Apr 2025
Bayesian Test-Time Adaptation for Vision-Language Models Lihua Zhou Mao Ye Shuaifeng Li Nianxin Li Xiatian Zhu Lei Deng Hongbin Liu Zhen Lei BDL VLM TTA 101 0 0 12 Mar 2025
PDA: Generalizable Detection of AI-Generated Images via Post-hoc Distribution Alignment Li Wang Wenyu Chen Zheng Li Shanqing Guo 41 0 0 15 Feb 2025
Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Hong-Hanh Nguyen-Le Van-Tuan Tran Dinh-Thuc Nguyen Nhien-An Le-Khac AAML 110 1 0 26 Nov 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation Kexin Zhang Shuhan Liu Song Wang Weili Shi Chen Chen Pan Li Sheng Li Jundong Li Kaize Ding OOD 50 2 0 25 Oct 2024
Feedback Favors the Generalization of Neural ODEs Jindou Jia Zihan Yang Meng Wang Kexin Guo Jianfei Yang Xiang Yu Lei Guo OOD AI4CE 40 2 0 14 Oct 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments Cheng Fang Sicong Liu Zimu Zhou Bin Guo Jiaqi Tang Ke Ma Zhiwen Yu TTA 31 1 0 10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
Test-time Adaptation for Regression by Subspace Alignment Kazuki Adachi Shinýa Yamaguchi Atsutoshi Kumagai Tomoki Hamagami TTA 46 0 0 04 Oct 2024
Learning Domain-Invariant Features for Out-of-Context News Detection Yimeng Gu Mengqi Zhang Ignacio Castro Shu Wu Gareth Tyson 45 2 0 11 Jun 2024
Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection Yingwen Wu Ruiji Yu Xinwen Cheng Zhengbao He Xiaolin Huang OODD 72 1 0 28 May 2024
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference Huaiguang Cai Zhi Zhou Qianyi Huang 42 3 0 25 May 2024
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning? Maxime Zanella Ismail Ben Ayed VLM MLLM 50 23 0 03 May 2024
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments Benoît Gérin Anaïs Halin A. Cioppa Maxim Henry Guohao Li Benoît Macq Christophe De Vleeschouwer Marc Van Droogenbroeck TTA 50 0 0 27 Apr 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training L. Meegahapola Hamza Hassoune D. Gática-Pérez 40 9 0 26 Apr 2024
Test-Time Model Adaptation with Only Forward Passes Shuaicheng Niu Chunyan Miao Guohao Chen Pengcheng Wu Peilin Zhao TTA 43 18 0 02 Apr 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory Daehee Park Jaeseok Jeong Sung-Hoon Yoon Jaewoo Jeong Kuk-Jin Yoon TTA 42 10 0 15 Mar 2024
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 32 4 0 24 Feb 2024
Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on Graphs Shuhan Liu Kaize Ding OOD 29 5 0 17 Feb 2024
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image Enhancement Heng Li Ziqin Lin Zhongxi Qiu Zinan Li Huazhu Fu Yan Hu Jiang-Dong Liu MedIm 37 9 0 03 Dec 2023
Self-training solutions for the ICCV 2023 GeoNet Challenge Lijun Sheng Zhengbo Wang Jian Liang EgoV 28 0 0 28 Nov 2023
TEA: Test-time Energy Adaptation Yige Yuan Bingbing Xu Liang Hou Fei Sun Huawei Shen Xueqi Cheng TTA VLM 31 8 0 24 Nov 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained Models via Test-Time Adaptation Imad Eddine Marouf Subhankar Roy Enzo Tartaglione Stéphane Lathuilière CLL 26 3 0 17 Oct 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 45 6 0 07 Sep 2023
Measuring the Robustness of NLP Models to Domain Shifts Nitay Calderon Naveh Porat Eyal Ben-David Alexander Chapanin Zorik Gekhman Nadav Oved Vitaly Shalumov Roi Reichart 21 7 0 31 May 2023
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training Yongyi Su Xun Xu Tianrui Li Kui Jia OOD TTA 34 15 0 20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation Lijun Sheng Jian Liang Ran He Zilei Wang Tien-Ping Tan AAML 45 5 0 19 Mar 2023
Upcycling Models under Domain and Category Shift Sanqing Qu Tianpei Zou Florian Roehrbein Cewu Lu Guang-Sheng Chen Dacheng Tao Changjun Jiang 48 40 0 13 Mar 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation Yushun Tang Ce Zhang Heng Xu Shuoshuo Chen Jie Cheng Luziwei Leng Qinghai Guo Zhihai He TTA 39 24 0 02 Mar 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Tianran Ouyang Cees G. M. Snoek TTA 48 17 0 22 Feb 2023
DELTA: degradation-free fully test-time adaptation Bowen Zhao Chen Chen Shutao Xia TTA 86 55 0 30 Jan 2023
Source-Free Unsupervised Domain Adaptation: A Survey Yuqi Fang P. Yap W. Lin Hongtu Zhu Mingxia Liu 130 90 0 31 Dec 2022
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation Rakshith Subramanyam Kowshik Thopalli Spring Berman P. Turaga Jayaraman J. Thiagarajan TTA 28 1 0 29 Oct 2022
Controllable Style Transfer via Test-time Training of Implicit Neural Representation Sunwoo Kim Youngjo Min Younghun Jung Seung Wook Kim 26 8 0 14 Oct 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts Tao Zhong Zhixiang Chi Li Gu Yang Wang Yuanhao Yu Jingshan Tang OOD 66 29 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Mixup for Test-Time Training Bochao Zhang Rui Shao Jingda Du Pc Yuen TTA 14 1 0 04 Oct 2022
TeST: Test-time Self-Training under Distribution Shift Samarth Sinha Peter V. Gehler Francesco Locatello Bernt Schiele TTA OOD 32 23 0 23 Sep 2022
Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu Weili Nie De-An Huang Zhiding Yu Tom Goldstein Anima Anandkumar Chaowei Xiao VLM VPVLM 186 282 0 15 Sep 2022
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data Sk. Miraj Ahmed Suhas Lohit Kuan-Chuan Peng Michael J. Jones A. Roy-Chowdhury 130 13 0 08 Sep 2022
Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift Wenao Ma Cheng Chen Shuang Zheng Jin Qin Huimao Zhang Qi Dou OOD 126 19 0 02 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary Quande Liu Cheng Chen Qi Dou Pheng-Ann Heng OOD 47 36 0 29 Jun 2022
Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment Takeshi Kojima Yutaka Matsuo Yusuke Iwasawa 55 27 0 28 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 38 3 0 24 Jun 2022
SALAD: Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection D. Kothandaraman Sumit Shekhar Abhilasha Sancheti Manoj Ghuhan Arivazhagan Tripti Shukla Tianyi Zhou VLM 38 17 0 24 May 2022
Test-Time Robust Personalization for Federated Learning Liang Jiang Tao R. Lin FedML OOD TTA 79 43 0 22 May 2022