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2104.12928
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If your data distribution shifts, use self-learning
27 April 2021
E. Rusak
Steffen Schneider
George Pachitariu
L. Eck
Peter V. Gehler
Oliver Bringmann
Wieland Brendel
Matthias Bethge
VLM
OOD
TTA
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Papers citing
"If your data distribution shifts, use self-learning"
29 / 29 papers shown
AVROBUSTBENCH
\texttt{AVROBUSTBENCH}
AVROBUSTBENCH
: Benchmarking the Robustness of Audio-Visual Recognition Models at Test-Time
Sarthak Kumar Maharana
Saksham Singh Kushwaha
Baoming Zhang
Adrian Rodriguez
Songtao Wei
Yapeng Tian
Yunhui Guo
TTA
VLM
340
0
0
31 May 2025
The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning
Shivam Agarwal
Zimin Zhang
Lifan Yuan
Jiawei Han
Yuan Yao
565
125
0
21 May 2025
Model Adaptation: Unsupervised Domain Adaptation without Source Data
Computer Vision and Pattern Recognition (CVPR), 2020
Rui Li
Qianfen Jiao
Wenming Cao
Hau-San Wong
Si Wu
OOD
869
572
0
26 Feb 2025
Audiopedia: Audio QA with Knowledge
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Abhirama Subramanyam Penamakuri
Kiran Chhatre
Akshat Jain
KELM
AuLLM
RALM
434
0
0
31 Dec 2024
Improving self-training under distribution shifts via anchored confidence with theoretical guarantees
Neural Information Processing Systems (NeurIPS), 2024
Taejong Joo
Diego Klabjan
UQCV
361
0
0
01 Nov 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
International Conference on Learning Representations (ICLR), 2024
Yongyi Su
Yushu Li
Nanqing Liu
Kui Jia
Xulei Yang
Chuan-Sheng Foo
Xun Xu
TTA
AAML
586
3
0
07 Oct 2024
Control+Shift: Generating Controllable Distribution Shifts
Roy Friedman
Rhea Chowers
234
0
0
12 Sep 2024
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection
Sebastian Cygert
Damian Sójka
Tomasz Trzciñski
Bartlomiej Twardowski
318
0
0
19 Jul 2024
MANO: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts
Renchunzi Xie
Ambroise Odonnat
Vasilii Feofanov
Weijian Deng
Jianfeng Zhang
Bo An
422
5
0
29 May 2024
The Entropy Enigma: Success and Failure of Entropy Minimization
International Conference on Machine Learning (ICML), 2024
Ori Press
Ravid Shwartz-Ziv
Yann LeCun
Matthias Bethge
UQCV
524
27
0
08 May 2024
ESP-Zero: Unsupervised enhancement of zero-shot classification for Extremely Sparse Point cloud
Jiayi Han
Zidi Cao
Weibo Zheng
Xiangguo Zhou
Xiangjian He
Yuanfang Zhang
Daisen Wei
3DPC
264
0
0
30 Apr 2024
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
Hyejin Park
Jeongyeon Hwang
Sunung Mun
Sangdon Park
Jungseul Ok
AAML
TTA
OOD
308
11
0
28 Mar 2024
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Tianshuo Cong
Xinlei He
Yun Shen
Yang Zhang
AAML
TTA
207
11
0
16 Aug 2023
Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
Neural Information Processing Systems (NeurIPS), 2023
Cian Eastwood
Shashank Singh
Andrei Liviu Nicolicioiu
Marin Vlastelica
Julius von Kügelgen
Bernhard Schölkopf
OOD
341
28
0
19 Jul 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling
Sameer Ambekar
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
BDL
OOD
454
3
0
08 Jul 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation
Neural Information Processing Systems (NeurIPS), 2023
Ori Press
Steffen Schneider
Matthias Kümmerer
Matthias Bethge
TTA
406
50
0
08 Jun 2023
On Pitfalls of Test-Time Adaptation
International Conference on Machine Learning (ICML), 2023
Hao Zhao
Yuejiang Liu
Alexandre Alahi
Tao Lin
TTA
245
70
0
06 Jun 2023
A Survey on the Robustness of Computer Vision Models against Common Corruptions
Shunxin Wang
Raymond N. J. Veldhuis
Christoph Brune
N. Strisciuglio
OOD
VLM
737
27
0
10 May 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
436
455
0
27 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
300
5
0
02 Mar 2023
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Neural Information Processing Systems (NeurIPS), 2023
Zhouxing Shi
Nicholas Carlini
Ananth Balashankar
Ludwig Schmidt
Cho-Jui Hsieh
Alex Beutel
Yao Qin
OOD
297
14
0
02 Feb 2023
Uncovering Adversarial Risks of Test-Time Adaptation
International Conference on Machine Learning (ICML), 2023
Tong Wu
Feiran Jia
Xiangyu Qi
Jiachen T. Wang
Vikash Sehwag
Saeed Mahloujifar
Prateek Mittal
AAML
TTA
452
12
0
29 Jan 2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
Pattern Recognition Letters (PR), 2023
Jiayi Han
Longbin Zeng
Liang Du
Weiyang Ding
Jianfeng Feng
OOD
TTA
260
22
0
15 Jan 2023
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Computer Vision and Pattern Recognition (CVPR), 2022
Zhiheng Li
Ivan Evtimov
Albert Gordo
C. Hazirbas
Tal Hassner
Cristian Canton Ferrer
Chenliang Xu
Mark Ibrahim
318
100
0
09 Dec 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation
International Conference on Learning Representations (ICLR), 2022
Jun-Kun Wang
Andre Wibisono
771
11
0
18 Oct 2022
Test-Time Adaptation via Conjugate Pseudo-labels
Neural Information Processing Systems (NeurIPS), 2022
Sachin Goyal
Mingjie Sun
Aditi Raghunathan
Zico Kolter
OOD
391
136
0
20 Jul 2022
SuperAnimal pretrained pose estimation models for behavioral analysis
Nature Communications (Nat Commun), 2022
Shaokai Ye
Anastasiia Filippova
Jessy Lauer
Steffen Schneider
Maxime Vidal
Tian Qiu
Alexander Mathis
Mackenzie W. Mathis
431
89
0
14 Mar 2022
Adversarial Discriminative Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
1.5K
5,156
0
17 Feb 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Computer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDE
BDL
PINN
3.6K
17,433
0
07 Oct 2016
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