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2202.08045
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Learning to Generalize across Domains on Single Test Samples
International Conference on Learning Representations (ICLR), 2022
16 February 2022
Zehao Xiao
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
OOD
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Papers citing
"Learning to Generalize across Domains on Single Test Samples"
25 / 25 papers shown
Generalization Evaluation of Deep Stereo Matching Methods for UAV-Based Forestry Applications
Yida Lin
Bing Xue
Mengjie Zhang
Sam Schofield
Richard Green
88
2
0
03 Dec 2025
Hierarchical Adaptive networks with Task vectors for Test-Time Adaptation
Sameer Ambekar
Daniel M. Lang
Julia A. Schnabel
Daniel M. Lang
Julia A. Schnabel
TTA
148
0
0
11 Aug 2025
PRIOT: Pruning-Based Integer-Only Transfer Learning for Embedded Systems
IEEE Embedded Systems Letters (IEEE ESL), 2025
Honoka Anada
Sefutsu Ryu
Masayuki Usui
Tatsuya Kaneko
Shinya Takamaeda-Yamazaki
292
2
0
21 Mar 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
Sameer Ambekar
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
OOD
516
3
0
15 Feb 2025
Towards Understanding Extrapolation: a Causal Lens
Neural Information Processing Systems (NeurIPS), 2025
Lingjing Kong
Guangyi Chen
P. Stojanov
Haoyang Li
Eric P. Xing
Kun Zhang
703
4
0
17 Jan 2025
One protein is all you need
Anton Bushuiev
Roman Bushuiev
Nikola Zadorozhny
Nikola Zadorozhny
Raman Samusevich
...
Hannes Stärk
Jiri Sedlar
Martin Steinegger
Tomáš Pluskal
Josef Sivic
375
0
0
04 Nov 2024
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation
Neural Information Processing Systems (NeurIPS), 2024
Wenjun Miao
Guansong Pang
Jin Zheng
Xiao Bai
OODD
377
7
0
28 Oct 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Knowledge Discovery and Data Mining (KDD), 2024
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
675
14
0
28 Jul 2024
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao
Jiayi Shen
Mohammad Mahdi Derakhshani
Tianran Ouyang
Cees G. M. Snoek
OOD
VPVLM
VLM
379
21
0
15 Feb 2024
Model-free Test Time Adaptation for Out-Of-Distribution Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yi-Fan Zhang
Qingsong Wen
Tian Zhou
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OODD
244
5
0
28 Nov 2023
SODA: Robust Training of Test-Time Data Adaptors
Neural Information Processing Systems (NeurIPS), 2023
Zige Wang
Yonggang Zhang
Zhen Fang
Long Lan
Wenjing Yang
Bo Han
273
2
0
17 Oct 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization
IEEE International Conference on Computer Vision (ICCV), 2023
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
270
12
0
23 Sep 2023
AFN: Adaptive Fusion Normalization via an Encoder-Decoder Framework
Zikai Zhou
Shuo Zhang
Ziruo Wang
Huanran Chen
AI4CE
475
3
0
07 Aug 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
446
3
0
08 Jul 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization
International Conference on Machine Learning (ICML), 2023
Jun-Gyu Park
Dong-Jun Han
Soyeong Kim
Jaekyun Moon
OOD
TTA
314
16
0
08 Jun 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation
International Conference on Machine Learning (ICML), 2023
Yi-Fan Zhang
Qingsong Wen
Kexin Jin
Kun Yuan
Zhang Zhang
Liang Wang
Rong Jin
Tien-Ping Tan
TTA
OOD
381
73
0
25 Apr 2023
Improved Test-Time Adaptation for Domain Generalization
Computer Vision and Pattern Recognition (CVPR), 2023
Liang Chen
Yong Zhang
Yibing Song
Ying Shan
Lingqiao Liu
TTA
OOD
390
71
0
10 Apr 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts
International Journal of Computer Vision (IJCV), 2023
Jian Liang
Ran He
Tien-Ping Tan
OOD
VLM
TTA
394
437
0
27 Mar 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Liwei Yang
Xiang Gu
Jian Sun
251
24
0
03 Mar 2023
Do Machine Learning Models Learn Statistical Rules Inferred from Data?
International Conference on Machine Learning (ICML), 2023
Aaditya Naik
Yinjun Wu
Mayur Naik
Eric Wong
290
5
0
02 Mar 2023
Energy-Based Test Sample Adaptation for Domain Generalization
International Conference on Learning Representations (ICLR), 2023
Zehao Xiao
Xiantong Zhen
Tianran Ouyang
Cees G. M. Snoek
TTA
260
23
0
22 Feb 2023
Association Graph Learning for Multi-Task Classification with Category Shifts
Neural Information Processing Systems (NeurIPS), 2022
Jiayi Shen
Zehao Xiao
Xiantong Zhen
Cees G. M. Snoek
Marcel Worring
OOD
334
10
0
10 Oct 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
370
24
0
15 Dec 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
337
7
0
27 Sep 2021
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
1.4K
5,132
0
17 Feb 2017
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