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2008.01883
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When is invariance useful in an Out-of-Distribution Generalization problem ?
4 August 2020
Masanori Koyama
Shoichiro Yamaguchi
OOD
Re-assign community
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Papers citing
"When is invariance useful in an Out-of-Distribution Generalization problem ?"
45 / 45 papers shown
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
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355
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Kenan Tang
Yao Qin
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Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
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Jen-tse Huang
Bo Li
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12 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach
Yiyuan Yang
Guodong Long
Wanrong Zhu
Qinghua Lu
Shanshan Ye
Jing Jiang
OODD
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02 May 2025
LLM Embeddings Improve Test-time Adaptation to Tabular
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Yibo Zeng
Tianyu Wang
Henry Lam
Hongseok Namkoong
LMTD
373
5
0
09 Oct 2024
Generalizing to any diverse distribution: uniformity, gentle finetuning and rebalancing
Andreas Loukas
Karolis Martinkus
Ed Wagstaff
Kyunghyun Cho
OOD
352
3
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08 Oct 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology
Neda Zamanitajeddin
Mostafa Jahanifar
Kesi Xu
Fouzia Siraj
Nasir M. Rajpoot
OOD
531
8
0
25 Sep 2024
Reducing Spurious Correlation for Federated Domain Generalization
Shuran Ma
Weiying Xie
Daixun Li
Haowei Li
Yunsong Li
OOD
FedML
232
2
0
27 Jul 2024
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
374
1
0
17 Jun 2024
How Does Distribution Matching Help Domain Generalization: An Information-theoretic Analysis
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2024
Yuxin Dong
Tieliang Gong
Hong Chen
Shuangyong Song
Weizhan Zhang
Chen Li
OOD
262
2
0
14 Jun 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning
Haoxin Liu
Harshavardhan Kamarthi
Lingkai Kong
Zhiyuan Zhao
Chao Zhang
B. Aditya Prakash
OODD
OOD
AI4TS
260
29
0
13 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization
Zongbin Wang
Bin Pan
Zhenwei Shi
OOD
241
0
0
09 Jun 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift
Jiayun Wu
Tianyu Wang
Peng Cui
Zhiwei Steven Wu
277
12
0
02 Jun 2024
Utilizing Graph Generation for Enhanced Domain Adaptive Object Detection
Mu Wang
253
0
0
23 Apr 2024
A Causal Inspired Early-Branching Structure for Domain Generalization
International Journal of Computer Vision (IJCV), 2024
Liang Chen
Yong Zhang
Yibing Song
Zhen Zhang
Lingqiao Liu
OOD
199
10
0
13 Mar 2024
Hacking Task Confounder in Meta-Learning
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Wenwen Qiang
Yi Ren
Changwen Zheng
Xingzhe Su
Changwen Zheng
Jingyao Wang
CML
631
9
0
10 Dec 2023
Domain Generalization in Computational Pathology: Survey and Guidelines
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
402
46
0
30 Oct 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head
Neural Information Processing Systems (NeurIPS), 2023
Alan Q. Wang
Minh Nguyen
M. Sabuncu
CML
OOD
280
1
0
23 Sep 2023
Domain Generalization without Excess Empirical Risk
Neural Information Processing Systems (NeurIPS), 2023
Ozan Sener
V. Koltun
285
10
0
30 Aug 2023
Understanding Hessian Alignment for Domain Generalization
IEEE International Conference on Computer Vision (ICCV), 2023
S. Hemati
Guojun Zhang
A. Estiri
Xi Chen
186
21
0
22 Aug 2023
Domain Generalization via Rationale Invariance
IEEE International Conference on Computer Vision (ICCV), 2023
Liang Chen
Yong Zhang
Yibing Song
Anton Van Den Hengel
Lingqiao Liu
OOD
368
27
0
22 Aug 2023
Out-of-Distribution Optimality of Invariant Risk Minimization
S. Toyota
Kenji Fukumizu
OOD
303
1
0
22 Jul 2023
Causality-oriented robustness: exploiting general noise interventions
Xinwei Shen
Peter Buhlmann
Armeen Taeb
OOD
424
11
0
18 Jul 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration
Hiroki Naganuma
Ryuichiro Hataya
Kotaro Yoshida
Ioannis Mitliagkas
OODD
762
3
0
17 Jul 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
Computer Vision and Pattern Recognition (CVPR), 2023
Runpeng Yu
Songhua Liu
Xingyi Yang
Xinchao Wang
OODD
219
29
0
14 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2023
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CML
OOD
695
46
0
01 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
282
0
0
29 May 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
724
27
0
10 May 2023
A step towards the applicability of algorithms based on invariant causal learning on observational data
Borja Guerrero Santillan
CML
OOD
242
1
0
05 Apr 2023
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
IEEE Communications Surveys and Tutorials (COMST), 2023
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OOD
AI4CE
296
56
0
13 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts
Neural Information Processing Systems (NeurIPS), 2023
Gleb Bazhenov
Denis Kuznedelev
A. Malinin
Artem Babenko
Liudmila Prokhorenkova
OOD
397
10
0
27 Feb 2023
On the Connection between Invariant Learning and Adversarial Training for Out-of-Distribution Generalization
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shiji Xin
Yifei Wang
Jingtong Su
Yisen Wang
OOD
274
13
0
18 Dec 2022
When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
AAAI Conference on Artificial Intelligence (AAAI), 2022
Jiajin Zhang
Hanqing Chao
Amit Dhurandhar
Pin-Yu Chen
A. Tajer
Yangyang Xu
Pingkun Yan
OOD
AAML
291
17
0
01 Dec 2022
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground
IEEE International Conference on Computer Vision (ICCV), 2022
Haoxin Li
Yuan Liu
Hanwang Zhang
Boyang Li
332
28
0
23 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift
Neural Information Processing Systems (NeurIPS), 2022
Yongduo Sui
Qitian Wu
Jiancan Wu
Daixin Wang
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
378
55
0
05 Nov 2022
OOD-Probe: A Neural Interpretation of Out-of-Domain Generalization
Zining Zhu
Soroosh Shahtalebi
Frank Rudzicz
332
5
0
25 Aug 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI Conference on Artificial Intelligence (AAAI), 2022
Runpeng Yu
Hong Zhu
Kaican Li
Lanqing Hong
Rui Zhang
Nan Ye
Shao-Lun Huang
Xiuqiang He
217
6
0
12 Jun 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation
Neural Information Processing Systems (NeurIPS), 2022
Ziniu Hu
Zhe Zhao
Xinyang Yi
Tiansheng Yao
Lichan Hong
Luke Huan
Ed H. Chi
OOD
LRM
380
41
0
19 May 2022
SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022
Zijian Zhang
Vinay Setty
Avishek Anand
226
7
0
03 May 2022
Invariance Learning based on Label Hierarchy
Neural Information Processing Systems (NeurIPS), 2022
S. Toyota
Kenji Fukumizu
OOD
173
1
0
29 Mar 2022
WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series
Jean-Christophe Gagnon-Audet
Kartik Ahuja
Mohammad Javad Darvishi Bayazi
Pooneh Mousavi
G. Dumas
Irina Rish
OOD
CML
AI4TS
325
43
0
18 Mar 2022
Gradient Masked Averaging for Federated Learning
Irene Tenison
Sai Aravind Sreeramadas
Vaikkunth Mugunthan
Edouard Oyallon
Irina Rish
Eugene Belilovsky
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DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Jun Liu
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
348
89
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Quantifying and Improving Transferability in Domain Generalization
Neural Information Processing Systems (NeurIPS), 2021
Guojun Zhang
Han Zhao
Yaoliang Yu
Pascal Poupart
308
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0
07 Jun 2021
A call for better unit testing for invariant risk minimisation
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Pranava Madhyastha
198
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