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A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts

27 March 2023
Jian Liang
Ran He
Tien-Ping Tan
    OOD
    VLM
    TTA
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Papers citing "A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts"

50 / 73 papers shown
Title
FRET: Feature Redundancy Elimination for Test Time Adaptation
FRET: Feature Redundancy Elimination for Test Time Adaptation
Linjing You
Jiabao Lu
Xiayuan Huang
Xiangli Nie
17
0
0
15 May 2025
Focus on the Likely: Test-time Instance-based Uncertainty Removal
Focus on the Likely: Test-time Instance-based Uncertainty Removal
Johannes Schneider
35
0
0
02 May 2025
Test-time Correlation Alignment
Test-time Correlation Alignment
Linjing You
Jiabao Lu
Xiayuan Huang
OOD
75
0
0
01 May 2025
TTRL: Test-Time Reinforcement Learning
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
162
2
0
22 Apr 2025
BoTTA: Benchmarking on-device Test Time Adaptation
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
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
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
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
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
53
2
0
25 Oct 2024
Feedback Favors the Generalization of Neural ODEs
Feedback Favors the Generalization of Neural ODEs
Jindou Jia
Zihan Yang
Meng Wang
Kexin Guo
Jianfei Yang
Xiang Yu
Lei Guo
OOD
AI4CE
43
2
0
14 Oct 2024
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary
  Mobile Environments
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
36
1
0
10 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
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
Test-time Adaptation for Regression by Subspace Alignment
Kazuki Adachi
Shin'ya Yamaguchi
Atsutoshi Kumagai
Tomoki Hamagami
TTA
46
0
0
04 Oct 2024
Learning Domain-Invariant Features for Out-of-Context News Detection
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
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
Online Resource Allocation for Edge Intelligence with Colocated Model Retraining and Inference
Huaiguang Cai
Zhi Zhou
Qianyi Huang
45
3
0
25 May 2024
On the test-time zero-shot generalization of vision-language models: Do
  we really need prompt learning?
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?
Maxime Zanella
Ismail Ben Ayed
VLM
MLLM
53
23
0
03 May 2024
Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving
  in Dynamic Environments
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
56
0
0
27 Apr 2024
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with
  Multi-Branch Adversarial Training
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
Test-Time Model Adaptation with Only Forward Passes
Shuaicheng Niu
Chunyan Miao
Guohao Chen
Pengcheng Wu
Peilin Zhao
TTA
43
19
0
02 Apr 2024
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder
  and Actor-specific Token Memory
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
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
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
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
40
9
0
03 Dec 2023
Self-training solutions for the ICCV 2023 GeoNet Challenge
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
TEA: Test-time Energy Adaptation
Yige Yuan
Bingbing Xu
Liang Hou
Fei Sun
Huawei Shen
Xueqi Cheng
TTA
VLM
34
9
0
24 Nov 2023
Rethinking Class-incremental Learning in the Era of Large Pre-trained
  Models via Test-Time Adaptation
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
29
3
0
17 Oct 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved
  Single-Sample Test-Time Adaptation
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
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
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
16
0
20 Mar 2023
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
AdaptGuard: Defending Against Universal Attacks for Model Adaptation
Lijun Sheng
Jian Liang
Ran He
Zilei Wang
Tien-Ping Tan
AAML
51
5
0
19 Mar 2023
Upcycling Models under Domain and Category Shift
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
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
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
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
Source-Free Unsupervised Domain Adaptation: A Survey
Yuqi Fang
P. Yap
W. Lin
Hongtu Zhu
Mingxia Liu
132
90
0
31 Dec 2022
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation
Single-Shot Domain Adaptation via Target-Aware Generative Augmentation
Rakshith Subramanyam
Kowshik Thopalli
Spring Berman
P. Turaga
Jayaraman J. Thiagarajan
TTA
31
1
0
29 Oct 2022
Controllable Style Transfer via Test-time Training of Implicit Neural
  Representation
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
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
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
61
0
07 Oct 2022
Mixup for Test-Time Training
Mixup for Test-Time Training
Bochao Zhang
Rui Shao
Jingda Du
Pc Yuen
TTA
22
1
0
04 Oct 2022
TeST: Test-time Self-Training under Distribution Shift
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
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
286
0
15 Sep 2022
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Cross-Modal Knowledge Transfer Without Task-Relevant Source Data
Sk. Miraj Ahmed
Suhas Lohit
Kuan-Chuan Peng
Michael J. Jones
A. Roy-Chowdhury
136
13
0
08 Sep 2022
Test-time Adaptation with Calibration of Medical Image Classification
  Nets for Label Distribution Shift
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
129
19
0
02 Jul 2022
Single-domain Generalization in Medical Image Segmentation via Test-time
  Adaptation from Shape Dictionary
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary
Quande Liu
Cheng Chen
Qi Dou
Pheng-Ann Heng
OOD
49
36
0
29 Jun 2022
Robustifying Vision Transformer without Retraining from Scratch by
  Test-Time Class-Conditional Feature Alignment
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
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
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
Test-Time Robust Personalization for Federated Learning
Liang Jiang
Tao R. Lin
FedML
OOD
TTA
82
43
0
22 May 2022
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