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2003.13525
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Improving out-of-distribution generalization via multi-task self-supervised pretraining
30 March 2020
Isabela Albuquerque
Nikhil Naik
Junnan Li
N. Keskar
R. Socher
SSL
OOD
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Papers citing
"Improving out-of-distribution generalization via multi-task self-supervised pretraining"
29 / 29 papers shown
Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary
Hanyu Duan
Yi Yang
Ahmed Abbasi
Kar Yan Tam
OOD
427
2
0
30 Mar 2026
MINR: Implicit Neural Representations with Masked Image Modelling
Sua Lee
Joonhun Lee
Myungjoo Kang
172
1
0
30 Jul 2025
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images
Hamza Riaz
Alan F. Smeaton
317
0
0
05 Apr 2025
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation
Jie Bao
Zhixin Zhou
Wen Jung Li
Rui Luo
MedIm
354
1
0
05 Dec 2024
FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Moslem Yazdanpanah
Ismail Ben Ayed
Christian Desrosiers
400
5
0
04 Jul 2024
MADG: Margin-based Adversarial Learning for Domain Generalization
Neural Information Processing Systems (NeurIPS), 2023
Aveen Dayal
B. VimalK.
Linga Reddy Cenkeramaddi
C. K. Mohan
Abhinav Kumar
Vineeth N. Balasubramanian
OOD
AAML
339
81
0
14 Nov 2023
Weight Averaging Improves Knowledge Distillation under Domain Shift
Valeriy Berezovskiy
Nikita Morozov
MoMe
362
2
0
20 Sep 2023
Domain Generalization without Excess Empirical Risk
Neural Information Processing Systems (NeurIPS), 2023
Ozan Sener
V. Koltun
286
10
0
30 Aug 2023
3D Adversarial Augmentations for Robust Out-of-Domain Predictions
International Journal of Computer Vision (IJCV), 2023
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
308
8
0
29 Aug 2023
Federated Domain Generalization: A Survey
Proceedings of the IEEE (Proc. IEEE), 2023
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OOD
FedML
AI4CE
381
58
0
02 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
282
0
0
29 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations
AAAI Conference on Artificial Intelligence (AAAI), 2023
Sang-Yeong Jo
Sung Whan Yoon
217
18
0
22 May 2023
TFS-ViT: Token-Level Feature Stylization for Domain Generalization
Pattern Recognition (Pattern Recogn.), 2023
Mehrdad Noori
Milad Cheraghalikhani
Ali Bahri
G. A. V. Hakim
David Osowiechi
Ismail Ben Ayed
Christian Desrosiers
223
23
0
28 Mar 2023
Anomaly Detection under Distribution Shift
IEEE International Conference on Computer Vision (ICCV), 2023
T. Cao
Jiawen Zhu
Guansong Pang
296
52
0
24 Mar 2023
WSSL: Weighted Self-supervised Learning Framework For Image-inpainting
International Conference on Scientific Computing (ICSC), 2022
Shubham Gupta
Rahul Kunigal Ravishankar
Madhoolika Gangaraju
Poojasree Dwarkanath
Natarajan Subramanyam
219
0
0
25 Nov 2022
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2022
Qishi Dong
Muhammad Awais
Fengwei Zhou
Chuanlong Xie
Tianyang Hu
Yongxin Yang
Sung-Ho Bae
Zhenguo Li
OODD
VLM
241
16
0
17 Oct 2022
Back-to-Bones: Rediscovering the Role of Backbones in Domain Generalization
Pattern Recognition (Pattern Recogn.), 2022
Simone Angarano
Mauro Martini
Francesco Salvetti
Vittorio Mazzia
Marcello Chiaberge
OOD
408
19
0
02 Sep 2022
TTAPS: Test-Time Adaption by Aligning Prototypes using Self-Supervision
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Alexander Bartler
Florian Bender
Felix Wiewel
B. Yang
TTA
215
10
0
18 May 2022
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
Alexander Lehner
Stefano Gasperini
Alvaro Marcos-Ramiro
Michael Schmidt
M. N. Mahani
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
232
64
0
09 Dec 2021
Federated Learning with Domain Generalization
Liling Zhang
Xinyu Lei
Yichun Shi
Hongyu Huang
Chao Chen
FedML
OOD
310
65
0
20 Nov 2021
Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set
Mao Ye
Qiang Liu
342
13
0
17 Oct 2021
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation
Chen Chen
Kerstin Hammernik
Cheng Ouyang
C. Qin
Wenjia Bai
Daniel Rueckert
OOD
227
26
0
02 Jul 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Alexander Bartler
Andreas Bühler
Felix Wiewel
Mario Döbler
Binh Yang
TTA
OOD
419
102
0
30 Mar 2021
Domain Generalization: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
1.1K
1,450
0
03 Mar 2021
Improving colonoscopy lesion classification using semi-supervised deep learning
IEEE Access (IEEE Access), 2020
M. Golhar
Taylor L. Bobrow
M. Khoshknab
S. Jit
S. Ngamruengphong
Nicholas J. Durr
SSL
191
23
0
07 Sep 2020
In Search of Lost Domain Generalization
Ishaan Gulrajani
David Lopez-Paz
OOD
579
1,391
0
02 Jul 2020
Domain Generalization using Causal Matching
International Conference on Machine Learning (ICML), 2020
Divyat Mahajan
Shruti Tople
Amit Sharma
OOD
666
391
0
12 Jun 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
International Conference on Machine Learning (ICML), 2020
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
1.0K
1,146
0
02 Mar 2020
Generalizing to unseen domains via distribution matching
Isabela Albuquerque
João Monteiro
Mohammad Javad Darvishi Bayazi
T. Falk
Alexia Jolicoeur-Martineau
OOD
788
184
0
03 Nov 2019
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