Invariant Information Bottleneck for Domain Generalization

11 June 2021

Papers citing "Invariant Information Bottleneck for Domain Generalization"

50 / 64 papers shown

Title
Fine-Grained Bias Exploration and Mitigation for Group-Robust Classification Miaoyun Zhao Qiang Zhang C. Li 28 0 0 11 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification Miaoyun Zhao Qiang Zhang C. Li 64 1 0 24 Apr 2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation Hong Zheng Yucheng Chen Nan Mu Xiaoning Li 57 0 0 23 Mar 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 180 0 0 18 Dec 2024
Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration Haoze Sun W. J. Li J. Liu Kaiwen Zhou Yongqiang Chen Yong Guo Y. Li Renjing Pei Long Peng Y. Yang DiffM 71 1 0 01 Dec 2024
A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets Kyungeun Lee Wonjong Rhee 24 3 0 14 Oct 2024
DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization Qiaowei Miao Yawei Luo Yi Yang OOD OODD 34 1 0 13 Sep 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 37 2 0 03 Aug 2024
When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights You-Wei Luo Chuan-Xian Ren OOD 35 1 0 24 Jun 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images Yiran Luo Joshua Forster Feinglass Tejas Gokhale Kuan-Cheng Lee Chitta Baral Yezhou Yang 37 0 0 24 May 2024
Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck Hongru Li Jiawei Shao Hengtao He Shenghui Song Jun Zhang Khaled B. Letaief OOD 29 5 0 15 May 2024
Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference Yujin Han Difan Zou AAML 21 3 0 22 Apr 2024
Unified Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu 93 5 0 12 Mar 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective Kai Guo Hongzhi Wen Wei Jin Yaming Guo Jiliang Tang Yi Chang OOD AI4CE 13 3 0 13 Feb 2024
Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training Sota Kudo N. Ono Shigehiko Kanaya Ming Huang 15 1 0 02 Feb 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Biwei Huang Liming Zhu Tongliang Liu Lina Yao Kun Zhang 32 3 0 18 Jan 2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach Ziliang Chen Yongsen Zheng Zhao-Rong Lai Quanlong Guan Liang Lin CML 31 1 0 15 Dec 2023
Invariant Representation via Decoupling Style and Spurious Features from Images Ruimeng Li Yuanhao Pu Zhaoyi Li Hong Xie Defu Lian OOD 15 1 0 11 Dec 2023
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms Haoxiang Wang Gargi Balasubramaniam Haozhe Si Bo Li Han Zhao OOD 35 1 0 02 Nov 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 33 15 0 28 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 21 1 0 25 Oct 2023
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 49 5 0 20 Oct 2023
Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients Zheshun Wu Zenglin Xu Dun Zeng Qifan Wang Jie Liu FedML 25 1 0 11 Oct 2023
Continuous Invariance Learning Yong Lin Fan Zhou Lu Tan Lintao Ma Jiameng Liu ... Yuan Yuan Yu Liu James Y. Zhang Yujiu Yang Hao Wang CLL OOD 39 3 0 09 Oct 2023
Diverse Target and Contribution Scheduling for Domain Generalization Shaocong Long Qianyu Zhou Soham Dan Lizhuang Ma Yuan Luo 54 8 0 28 Sep 2023
Order-preserving Consistency Regularization for Domain Adaptation and Generalization Mengmeng Jing Xiantong Zhen Jingjing Li Cees G. M. Snoek 27 4 0 23 Sep 2023
INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization Xi Yu Huan-Hsin Tseng Shinjae Yoo Haibin Ling Yuewei Lin OOD 27 10 0 08 Sep 2023
Adapting Self-Supervised Representations to Multi-Domain Setups N. Kalibhat Sam Sharpe Jeremy Goodsitt Bayan Bruss S. Feizi 23 0 0 07 Sep 2023
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning Yun Zhu Haizhou Shi Zhenshuo Zhang Siliang Tang 18 8 0 24 Jul 2023
Text Descriptions are Compressive and Invariant Representations for Visual Learning Zhili Feng Anna Bair J. Zico Kolter VLM 22 6 0 10 Jul 2023
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization Ling Yang Jiayi Zheng Heyuan Wang Zhongyi Liu Zhilin Huang Shenda Hong Wentao Zhang Bin Cui 22 13 0 28 Jun 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators Paweł Czyż Frederic Grabowski Julia E. Vogt N. Beerenwinkel Alexander Marx 26 32 0 19 Jun 2023
Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization Shuo Ye Shujian Yu W. Hou Yu Wang Xinge You OOD 16 10 0 08 Jun 2023
How Does Information Bottleneck Help Deep Learning? Kenji Kawaguchi Zhun Deng Xu Ji Jiaoyang Huang 46 53 0 30 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 32 6 0 25 May 2023
Conformal Inference for Invariant Risk Minimization Wenlu Tang Zicheng Liu 24 0 0 22 May 2023
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization Yingchun Wang Jingcai Guo Yi Liu Song Guo Weizhan Zhang Xiangyong Cao Qinghua Zheng AAML OODD 31 11 0 19 May 2023
Recognizable Information Bottleneck Yilin Lyu Xin Liu M. Song Xinyue Wang Yaxin Peng T. Zeng L. Jing 28 4 0 28 Apr 2023
A principled approach to model validation in domain generalization Boyang Lyu Thuan Q. Nguyen matthias. scheutz Prakash Ishwar Shuchin Aeron 36 2 0 02 Apr 2023
Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization Sangrok Lee Jongseong Bae Ha Young Kim OOD 33 26 0 04 Mar 2023
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe BDL 26 6 0 21 Jan 2023
An Empirical Study on Multi-Domain Robust Semantic Segmentation Yajie Liu Pu Ge Qingjie Liu Shichao Fan Yunhong Wang 15 2 0 08 Dec 2022
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis Chang-Tien Lu OOD BDL CML MedIm 24 0 0 28 Oct 2022
Trade-off between reconstruction loss and feature alignment for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 40 1 0 26 Oct 2022
Constrained Maximum Cross-Domain Likelihood for Domain Generalization Jianxin Lin Yongqiang Tang Junping Wang Wensheng Zhang OOD 16 3 0 09 Oct 2022
Domain Generalization via Contrastive Causal Learning Qiaowei Miao Junkun Yuan Kun Kuang BDL OOD 33 12 0 06 Oct 2022
Domain Generalization -- A Causal Perspective Paras Sheth Raha Moraffah K. S. Candan A. Raglin Huan Liu CML OOD 45 17 0 30 Sep 2022
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering Jingjing Jiang Zi-yi Liu Nanning Zheng 24 8 0 14 Sep 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng K. Jia OOD 20 1 0 16 Aug 2022
Joint covariate-alignment and concept-alignment: a framework for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 22 4 0 01 Aug 2022