Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2106.06607
Cited By
v1
v2 (latest)
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
Neural Information Processing Systems (NeurIPS), 2021
11 June 2021
Kartik Ahuja
Ethan Caballero
Dinghuai Zhang
Jean-Christophe Gagnon-Audet
Yoshua Bengio
Ioannis Mitliagkas
Irina Rish
OOD
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization"
50 / 180 papers shown
PISA: Prioritized Invariant Subgraph Aggregation
Ali Ghasemi
F. Wani
Maria Sofia Bucarelli
Fabrizio Silvestri
OOD
171
0
0
27 Nov 2025
Information-Theoretic Greedy Layer-wise Training for Traffic Sign Recognition
Shuyan Lyu
Zhanzimo Wu
Junliang Du
163
0
0
31 Oct 2025
Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization
Juncheng Wang
Lei Shang
Ziqi Liu
Wang Lu
Xixu Hu
Zhe Hu
Jindong Wang
Shujun Wang
163
0
0
22 Oct 2025
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
Zhiyuan Zhao
Haoxin Liu
B. Prakash
AI4TS
TTA
110
2
0
16 Oct 2025
Measure-Theoretic Anti-Causal Representation Learning
Arman Behnam
Binghui Wang
OOD
CML
267
0
0
16 Oct 2025
Towards Generalizable PDE Dynamics Forecasting via Physics-Guided Invariant Learning
Siyang Li
Yize Chen
Yan Guo
Ming Huang
Hui Xiong
AI4CE
AI4TS
178
0
0
29 Sep 2025
Feed Two Birds with One Scone: Exploiting Function-Space Regularization for Both OOD Robustness and ID Fine-Tuning Performance
Xiang Yuan
Jun Shu
Deyu Meng
Zongben Xu
AAML
149
0
0
31 Aug 2025
Label Smoothing is a Pragmatic Information Bottleneck
Sota Kudo
159
0
0
12 Aug 2025
Class Unbiasing for Generalization in Medical Diagnosis
Lishi Zuo
Man-Wai Mak
Lu Yi
Youzhi Tu
273
0
0
09 Aug 2025
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
Zheyuan Zhang
Linkai Peng
Wanying Dou
Cuiling Sun
Halil Ertugrul Aktas
Andrea Mia Bejar
Elif Keles
Gorkem Durak
Ulas Bagci
OOD
233
1
0
30 Jul 2025
Should Bias be Eliminated? A General Framework to Use Bias for OOD Generalization
Yan Li
Guangyi Chen
Yunlong Deng
Zijian Li
Zeyu Tang
Anpeng Wu
Kun Zhang
CML
207
0
0
22 Jul 2025
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
Conference on Uncertainty in Artificial Intelligence (UAI), 2025
Yuen Chen
Haozhe Si
Guojun Zhang
Han Zhao
OOD
371
2
0
09 Jun 2025
Out-of-Distribution Graph Models Merging
Yidi Wang
Jiawei Gu
pei Xiaobing
Xubin Zheng
Xiao Luo
Pengyang Wang
Ziyue Qiao
MoMe
412
0
0
04 Jun 2025
Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
Computer Vision and Pattern Recognition (CVPR), 2025
Longyu Yang
Ping Hu
Shangbo Yuan
Jun Liu
Jun Liu
Hengtao Shen
Xiaofeng Zhu
261
2
0
03 Jun 2025
Data Heterogeneity Modeling for Trustworthy Machine Learning
Tianyu Wang
Peng Cui
305
4
0
01 Jun 2025
Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Katherine Tieu
Dongqi Fu
Jun Wu
Jingrui He
OOD
OODD
CML
237
7
0
30 May 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
371
2
0
28 May 2025
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
Dingling Yao
Shimeng Huang
Riccardo Cadei
Kun Zhang
Francesco Locatello
CML
634
3
0
23 May 2025
Robust Invariant Representation Learning by Distribution Extrapolation
Kotaro Yoshida
Konstantinos Slavakis
OOD
292
0
0
22 May 2025
Mitigating Spurious Correlations with Causal Logit Perturbation
Information Sciences (Inf. Sci.), 2025
Xiaoling Zhou
Wei Ye
Rui Xie
Shikun Zhang
CML
374
0
0
21 May 2025
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
International Joint Conference on Artificial Intelligence (IJCAI), 2024
Han Zhang
Yan Wang
Guanfeng Liu
Pengfei Ding
Huaxiong Wang
Kwok-Yan Lam
480
0
0
20 May 2025
Unsupervised Representation Learning - an Invariant Risk Minimization Perspective
Yotam Norman
Ron Meir
OOD
361
0
0
18 May 2025
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification
Miaoyun Zhao
Qiang Zhang
Chaofan Li
362
0
0
11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
Chaofan Li
436
1
0
24 Apr 2025
CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
Mert Sonmezer
Seyda Ertekin
AI4TS
332
0
0
24 Apr 2025
Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization
Computer Vision and Pattern Recognition (CVPR), 2025
Xiran Wang
Jian Zhang
Lei Qi
Yinghuan Shi
350
7
0
23 Mar 2025
L2RW+: A Comprehensive Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification
Yan Jiang
Hao Yu
Mengting Wei
Zhaodong Sun
Haoyu Chen
Xu Cheng
Guoying Zhao
284
1
0
15 Mar 2025
Feature Matching Intervention: Leveraging Observational Data for Causal Representation Learning
Haoze Li
Jun Xie
CML
307
1
0
05 Mar 2025
Elliptic Loss Regularization
International Conference on Learning Representations (ICLR), 2025
Ali Hasan
Haoming Yang
Yuting Ng
Vahid Tarokh
319
2
0
04 Mar 2025
DADM: Dual Alignment of Domain and Modality for Face Anti-spoofing
Jingyi Yang
Xun Lin
Zitong Yu
Li Zhang
Xianglong Liu
Hui Li
Xiaochen Yuan
Simeng Qin
CVBM
424
2
0
01 Mar 2025
DivIL: Unveiling and Addressing Over-Invariance for Out-of- Distribution Generalization
Jiaqi Wang
Yuhang Zhou
Zhixiong Zhang
Qiguang Chen
Yongqiang Chen
James Cheng
OODD
520
2
0
18 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified
Neural Information Processing Systems (NeurIPS), 2025
Julia Kostin
Nicola Gnecco
Fanny Yang
342
4
0
04 Feb 2025
A Unified Invariant Learning Framework for Graph Classification
Knowledge Discovery and Data Mining (KDD), 2025
Yongduo Sui
Jie Sun
Shuyao Wang
Zemin Liu
Daixin Wang
Longfei Li
Xiang Wang
OOD
300
6
0
22 Jan 2025
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion
Neural Information Processing Systems (NeurIPS), 2024
Zhenheng Tang
Yonggang Zhang
Peijie Dong
Yiu-ming Cheung
Amelie Chi Zhou
Bo Han
Xiaowen Chu
FedML
MoMe
AI4CE
380
19
0
27 Oct 2024
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
Bohan Wang
Yurui Chang
Lu Lin
Lu Lin
OODD
OOD
576
0
0
23 Oct 2024
HyQE: Ranking Contexts with Hypothetical Query Embeddings
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024
Weichao Zhou
Jiaxin Zhang
Hilaf Hasson
Anu Singh
Wenchao Li
RALM
242
7
0
20 Oct 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View
Neural Information Processing Systems (NeurIPS), 2024
Han Wang
Yixuan Li
CML
372
5
0
26 Sep 2024
Benchmarking Domain Generalization Algorithms in Computational Pathology
Neda Zamanitajeddin
Mostafa Jahanifar
Kesi Xu
Fouzia Siraj
Nasir M. Rajpoot
OOD
535
8
0
25 Sep 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Ivan Ovinnikov
Eugene Bykovets
J. M. Buhmann
CML
347
2
0
12 Sep 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization
Wenyu Mao
Jiancan Wu
Haoyang Liu
Yongduo Sui
Xiang Wang
OOD
534
6
0
03 Aug 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
495
1
0
25 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization
Jiajun Hu
Jian Zhang
Lei Qi
Yinghuan Shi
Yang Gao
OOD
257
14
0
21 Jul 2024
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design
Natavsa Tagasovska
Ji Won Park
Matthieu Kirchmeyer
Nathan C. Frey
Andrew Watkins
...
Arian R. Jamasb
Edith Lee
Tyler Bryson
Stephen Ra
Kyunghyun Cho
OOD
382
8
0
15 Jul 2024
Disentangling Masked Autoencoders for Unsupervised Domain Generalization
An Zhang
Han Wang
Xiang Wang
Tat-Seng Chua
231
5
0
10 Jul 2024
Invariant Correlation of Representation with Label: Enhancing Domain Generalization in Noisy Environments
Gaojie Jin
Ronghui Mu
Xinping Yi
Xiaowei Huang
Lijun Zhang
420
1
0
01 Jul 2024
Disentangled Representations for Causal Cognition
Filippo Torresan
Manuel Baltieri
CML
311
4
0
30 Jun 2024
PathoWAve: A Deep Learning-based Weight Averaging Method for Improving Domain Generalization in Histopathology Images
Parastoo Sotoudeh Sharifi
M. Omair Ahmad
M. N. S. Swamy
MoMe
OOD
301
0
0
21 Jun 2024
Revisiting Spurious Correlation in Domain Generalization
Bin Qin
Jiangmeng Li
Yi Li
Xuesong Wu
Yupeng Wang
Jingyao Wang
Jianwen Cao
CML
386
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
266
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
263
31
0
13 Jun 2024
1
2
3
4
Next
Page 1 of 4
