ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2204.02610
  4. Cited By
Efficient Test-Time Model Adaptation without Forgetting
v1v2 (latest)

Efficient Test-Time Model Adaptation without Forgetting

International Conference on Machine Learning (ICML), 2022
6 April 2022
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Yaofo Chen
S. Zheng
P. Zhao
Zhuliang Yu
    OODVLMTTA
ArXiv (abs)PDFHTML

Papers citing "Efficient Test-Time Model Adaptation without Forgetting"

46 / 296 papers shown
Title
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in
  Entropy Minimization
Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy MinimizationIEEE International Conference on Computer Vision (ICCV), 2023
Jungsoo Lee
Debasmit Das
Jaegul Choo
Sungha Choi
TTAVLM
203
43
0
14 Aug 2023
Learning Vision-and-Language Navigation from YouTube Videos
Learning Vision-and-Language Navigation from YouTube VideosIEEE International Conference on Computer Vision (ICCV), 2023
Kun-Li Channing Lin
Peihao Chen
Di Huang
Thomas H. Li
Zhuliang Yu
Chuang Gan
LM&Ro
201
43
0
22 Jul 2023
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual
  Learning
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Zhenyi Wang
Enneng Yang
Li Shen
Heng-Chiao Huang
KELMMU
237
81
0
16 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDLOOD
327
2
0
08 Jul 2023
Benchmarking Test-Time Adaptation against Distribution Shifts in Image
  Classification
Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification
Yongcan Yu
Lijun Sheng
Ran He
Jian Liang
OODVLMTTA
140
21
0
06 Jul 2023
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for
  Robust 3D Medical Image Segmentation
Pay Attention to the Atlas: Atlas-Guided Test-Time Adaptation Method for Robust 3D Medical Image Segmentation
Jingjie Guo
Weitong Zhang
Matthew Sinclair
Daniel Rueckert
Chen Chen
OOD
222
2
0
02 Jul 2023
RDumb: A simple approach that questions our progress in continual
  test-time adaptation
RDumb: A simple approach that questions our progress in continual test-time adaptationNeural Information Processing Systems (NeurIPS), 2023
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
270
46
0
08 Jun 2023
On Pitfalls of Test-Time Adaptation
On Pitfalls of Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao Lin
TTA
190
59
0
06 Jun 2023
Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction
Universal Test-time Adaptation through Weight Ensembling, Diversity Weighting, and Prior CorrectionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Robert A. Marsden
Mario Döbler
Bin Yang
TTA
298
61
0
01 Jun 2023
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and
  Unlabeled Image Collections
LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image CollectionsNeural Information Processing Systems (NeurIPS), 2023
M. Jehanzeb Mirza
Leonid Karlinsky
Wei Lin
Mateusz Koziñski
Horst Possegger
Rogerio Feris
Horst Bischof
VLM
319
48
0
29 May 2023
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in
  Vision-Language Models
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Shuai Zhao
Xiaohan Wang
Linchao Zhu
Yezhou Yang
VLM
289
39
0
29 May 2023
Detecting Adversarial Data by Probing Multiple Perturbations Using
  Expected Perturbation Score
Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation ScoreInternational Conference on Machine Learning (ICML), 2023
Shuhai Zhang
Yifan Zhang
Jiahao Yang
Yifan Yang
Changsheng Li
Bo Han
Zhuliang Yu
DiffMAAML
158
33
0
25 May 2023
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel
  Historical Data Reuse Approach
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse ApproachKnowledge Discovery and Data Mining (KDD), 2023
Zhangming Chan
Yu Zhang
Shuguang Han
Yong Bai
Xiang-Rong Sheng
...
Jiacen Hu
Baolin Liu
Yuning Jiang
Jian Xu
Bo Zheng
266
16
0
22 May 2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype
  Alignment
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Hongbin Lin
Zhuliang Yu
Yifan Zhang
Zhen Qiu
Shuaicheng Niu
Dong Liu
Qing Du
Yanxia Liu
172
2
0
22 May 2023
Test-Time Adaptation with Perturbation Consistency Learning
Test-Time Adaptation with Perturbation Consistency Learning
Yi Su
Yixin Ji
Juntao Li
Hai Ye
Hao Fei
VLM
175
1
0
25 Apr 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
AdaNPC: Exploring Non-Parametric Classifier for Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Yi-Fan Zhang
Qingsong Wen
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTAOOD
286
70
0
25 Apr 2023
CoSDA: Continual Source-Free Domain Adaptation
CoSDA: Continual Source-Free Domain Adaptation
Hao Feng
Zhaorui Yang
He-Tuo Chen
Tianyu Pang
Chao Du
Minfeng Zhu
Wei Chen
Shuicheng Yan
CLLTTA
225
4
0
13 Apr 2023
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Evaluation of Test-Time Adaptation Under Computational Time ConstraintsInternational Conference on Machine Learning (ICML), 2023
Motasem Alfarra
Hani Itani
Alejandro Pardo
Shyma Alhuwaider
Merey Ramazanova
Juan C. Pérez
Yong Deng
Matthias Müller
Guohao Li
TTA
264
7
0
10 Apr 2023
STFAR: Improving Object Detection Robustness at Test-Time by
  Self-Training with Feature Alignment Regularization
STFAR: Improving Object Detection Robustness at Test-Time by Self-Training with Feature Alignment Regularization
Yijin Chen
Xun Xu
Yongyi Su
Kui Jia
TTAOODObjD
294
10
0
31 Mar 2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose EstimationComputer Vision and Pattern Recognition (CVPR), 2023
Taeyeop Lee
Jonathan Tremblay
Valts Blukis
Bowen Wen
Byeong-uk Lee
Inkyu Shin
Stan Birchfield
In So Kweon
Kuk-Jin Yoon
TTA
227
41
0
29 Mar 2023
Complementary Domain Adaptation and Generalization for Unsupervised
  Continual Domain Shift Learning
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift LearningIEEE International Conference on Computer Vision (ICCV), 2023
Won-Yong Cho
Jinha Park
Taesup Kim
CLL
257
11
0
28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
A Comprehensive Survey on Test-Time Adaptation under Distribution ShiftsInternational Journal of Computer Vision (IJCV), 2023
Jian Liang
Ran He
Tien-Ping Tan
OODVLMTTA
304
374
0
27 Mar 2023
Robust Test-Time Adaptation in Dynamic Scenarios
Robust Test-Time Adaptation in Dynamic ScenariosComputer Vision and Pattern Recognition (CVPR), 2023
Longhui Yuan
Binhui Xie
Shuangliang Li
TTA
301
182
0
24 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2023
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTAOOD
278
59
0
20 Mar 2023
Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation
Multi-Modal Continual Test-Time Adaptation for 3D Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Haozhi Cao
Yuecong Xu
Jianfei Yang
Pengyu Yin
Shenghai Yuan
Lihua Xie
TTA
154
27
0
18 Mar 2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via
  Self-distilled Regularization
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationComputer Vision and Pattern Recognition (CVPR), 2023
Jun S. Song
Jungsoo Lee
In So Kweon
Sungha Choi
TTA
254
127
0
03 Mar 2023
Temporal Coherent Test-Time Optimization for Robust Video Classification
Temporal Coherent Test-Time Optimization for Robust Video ClassificationInternational Conference on Learning Representations (ICLR), 2023
Chenyu Yi
Siyuan Yang
Yufei Wang
Haoliang Li
Yap-Peng Tan
Alex C. Kot
TTA
199
16
0
28 Feb 2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Towards Stable Test-Time Adaptation in Dynamic Wild WorldInternational Conference on Learning Representations (ICLR), 2023
Shuaicheng Niu
Jiaxiang Wu
Yifan Zhang
Z. Wen
Yaofo Chen
P. Zhao
Zhuliang Yu
TTA
372
389
0
24 Feb 2023
Seasoning Model Soups for Robustness to Adversarial and Natural
  Distribution Shifts
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution ShiftsComputer Vision and Pattern Recognition (CVPR), 2023
Francesco Croce
Sylvestre-Alvise Rebuffi
Evan Shelhamer
Sven Gowal
AAML
184
20
0
20 Feb 2023
DELTA: degradation-free fully test-time adaptation
DELTA: degradation-free fully test-time adaptationInternational Conference on Learning Representations (ICLR), 2023
Bowen Zhao
Chen Chen
Shutao Xia
TTA
295
77
0
30 Jan 2023
Uncovering Adversarial Risks of Test-Time Adaptation
Uncovering Adversarial Risks of Test-Time AdaptationInternational Conference on Machine Learning (ICML), 2023
Tong Wu
Feiran Jia
Xiangyu Qi
Jiachen T. Wang
Vikash Sehwag
Saeed Mahloujifar
Prateek Mittal
AAMLTTA
339
11
0
29 Jan 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen DomainsInternational Conference on Learning Representations (ICLR), 2023
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Tianlin Li
Qi Zhu
CLLOOD
191
26
0
25 Jan 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
A Probabilistic Framework for Lifelong Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Dhanajit Brahma
Piyush Rai
TTA
277
46
0
19 Dec 2022
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge
  Management
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge ManagementIEEE Robotics and Automation Letters (RA-L), 2022
Jun S. Song
Kwanyong Park
Inkyu Shin
Sanghyun Woo
Chaoning Zhang
In So Kweon
TTA
272
7
0
16 Dec 2022
ActMAD: Activation Matching to Align Distributions for
  Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-Time-TrainingComputer Vision and Pattern Recognition (CVPR), 2022
M. Jehanzeb Mirza
Pol Jané Soneira
W. Lin
Mateusz Koziñski
Horst Possegger
Horst Bischof
VLMTTA
232
40
0
23 Nov 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for
  Test-Time Adaptation
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time AdaptationInternational Conference on Learning Representations (ICLR), 2022
Jun-Kun Wang
Andre Wibisono
629
11
0
18 Oct 2022
Multi-Scale Multi-Target Domain Adaptation for Angle Closure
  Classification
Multi-Scale Multi-Target Domain Adaptation for Angle Closure ClassificationChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2022
Zhen Qiu
Yifan Zhang
Fei Li
Xiulan Zhang
Yanwu Xu
Zhuliang Yu
202
1
0
25 Aug 2022
GraphTTA: Test Time Adaptation on Graph Neural Networks
GraphTTA: Test Time Adaptation on Graph Neural Networks
Guan-Wun Chen
Jiying Zhang
Xi Xiao
Yongqian Li
OOD
163
15
0
19 Aug 2022
Evaluating Continual Test-Time Adaptation for Contextual and Semantic
  Domain Shifts
Evaluating Continual Test-Time Adaptation for Contextual and Semantic Domain Shifts
Tommie Kerssies
Mert Kilickaya
Joaquin Vanschoren
OODTTA
138
7
0
18 Aug 2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised
  Domain Adaptation
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2022
Hongbin Lin
Yifan Zhang
Zhen Qiu
Shuaicheng Niu
Chuang Gan
Yanxia Liu
Zhuliang Yu
CLL
207
51
0
22 Jul 2022
Test-Time Adaptation via Conjugate Pseudo-labels
Test-Time Adaptation via Conjugate Pseudo-labelsNeural Information Processing Systems (NeurIPS), 2022
Sachin Goyal
Mingjie Sun
Aditi Raghunathan
Zico Kolter
OOD
292
124
0
20 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation
Back to the Source: Diffusion-Driven Test-Time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Jin Gao
Jialing Zhang
Xihui Liu
Trevor Darrell
Evan Shelhamer
Yi Xu
TTA
229
76
0
07 Jul 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time AdaptationIEEE International Conference on Computer Vision (ICCV), 2022
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OODTTA
410
22
0
01 Jun 2022
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic
  Long-Tailed Recognition
Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed RecognitionNeural Information Processing Systems (NeurIPS), 2021
Yifan Zhang
Bryan Hooi
Lanqing Hong
Jiashi Feng
351
169
0
20 Jul 2021
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without
  Source Data
Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source DataKnowledge-Based Systems (KBS), 2021
Ning Ma
Jiajun Bu
Zhen Zhang
Sheng Zhou
TTA
206
17
0
14 Jul 2021
If your data distribution shifts, use self-learning
If your data distribution shifts, use self-learning
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLMOODTTA
412
35
0
27 Apr 2021
Previous
123456