Learning to Learn with Variational Information Bottleneck for Domain Generalization

15 July 2020

Papers citing "Learning to Learn with Variational Information Bottleneck for Domain Generalization"

38 / 88 papers shown

Title
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li K. Jia Lei Zhang AAML OOD 18 14 0 30 Jan 2023
Domain Generalization by Learning and Removing Domain-specific Features Yuzhu Ding Lei Wang Binxin Liang Shuming Liang Yang Wang Fangxiao Chen OOD 12 39 0 14 Dec 2022
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie M. Zhang FedML OODD OOD 13 3 0 21 Nov 2022
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts Qi Fan Mattia Segu Yu-Wing Tai F. I. F. Richard Yu Chi-Keung Tang Bernt Schiele Dengxin Dai 16 11 0 08 Nov 2022
Trade-off between reconstruction loss and feature alignment for domain generalization Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 29 1 0 26 Oct 2022
Association Graph Learning for Multi-Task Classification with Category Shifts Jiayi Shen Zehao Xiao Xiantong Zhen Cees G. M. Snoek M. Worring OOD 31 4 0 10 Oct 2022
Bayesian Prompt Learning for Image-Language Model Generalization Mohammad Mahdi Derakhshani Enrique Sanchez Adrian Bulat Victor G. Turrisi da Costa Cees G. M. Snoek Georgios Tzimiropoulos Brais Martínez VPVLM VLM 90 34 0 05 Oct 2022
Federated Domain Generalization for Image Recognition via Cross-Client Style Transfer Junming Chen Meirui Jiang Qianming Dou Qifeng Chen FedML OOD 24 44 0 03 Oct 2022
Correlation Information Bottleneck: Towards Adapting Pretrained Multimodal Models for Robust Visual Question Answering Jingjing Jiang Zi-yi Liu Nanning Zheng 21 8 0 14 Sep 2022
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration Ziqi Zhou Lei Qi Yinghuan Shi 17 33 0 08 Aug 2022
Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary Quande Liu Cheng Chen Qi Dou Pheng-Ann Heng OOD 43 36 0 29 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 10 11 0 19 Jun 2022
Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization Yabin Zhang Minghan Li Ruihuang Li K. Jia Lei Zhang OOD 22 160 0 15 Mar 2022
Adaptive Information Bottleneck Guided Joint Source and Channel Coding for Image Transmission Lunan Sun Yang Yang Mingzhe Chen Caili Guo Walid Saad H. Vincent Poor 10 24 0 12 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning Ziyue Li Kan Ren Xinyang Jiang Bo-wen Li Haipeng Zhang Dongsheng Li VLM 20 37 0 09 Mar 2022
Learning to Generalize across Domains on Single Test Samples Zehao Xiao Xiantong Zhen Ling Shao Cees G. M. Snoek OOD 9 31 0 16 Feb 2022
Bayesian Imitation Learning for End-to-End Mobile Manipulation Yuqing Du Daniel Ho Alexander A. Alemi Eric Jang Mohi Khansari SSL 11 9 0 15 Feb 2022
Conditional entropy minimization principle for learning domain invariant representation features Thuan Q. Nguyen Boyang Lyu Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 12 7 0 25 Jan 2022
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization Ziqi Zhou Lei Qi Xin Yang Dong Ni Yinghuan Shi OOD MedIm 12 57 0 21 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 14 21 0 15 Dec 2021
Variational Disentanglement for Domain Generalization Yufei Wang Haoliang Li Hao Cheng Bihan Wen Lap-Pui Chau Alex C. Kot OOD DRL 7 24 0 13 Sep 2021
Barycentric-alignment and reconstruction loss minimization for domain generalization Boyang Lyu Thuan Q. Nguyen Prakash Ishwar matthias. scheutz Shuchin Aeron OOD 26 4 0 04 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 29 513 0 31 Aug 2021
Learning to Diversify for Single Domain Generalization Zijian Wang Yadan Luo Ruihong Qiu Zi Huang Mahsa Baktash 13 247 0 26 Aug 2021
Discriminative Domain-Invariant Adversarial Network for Deep Domain Generalization Mohammad Mahfujur Rahman Clinton Fookes S. Sridharan OOD 11 3 0 20 Aug 2021
Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai Yu Li Ailing Zeng Minhao Liu Hanqiu Sun Qiang Xu 11 8 0 07 Aug 2021
Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference Xiaofeng Liu Bo Hu Linghao Jin Xu Han Fangxu Xing J. Ouyang Jun Lu G. El Fakhri Jonghye Woo OOD BDL 25 30 0 22 Jul 2021
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang Shichao Xu Ruiqi Xu Xiao Wang Qi Zhu AAML 11 45 0 13 Jun 2021
Invariant Information Bottleneck for Domain Generalization Bo-wen Li Yifei Shen Yezhen Wang Wenzhen Zhu Colorado Reed Jun Zhang Dongsheng Li Kurt Keutzer Han Zhao OOD 8 105 0 11 Jun 2021
A Fourier-based Framework for Domain Generalization Qinwei Xu Ruipeng Zhang Ya-Qin Zhang Yanfeng Wang Qi Tian OOD 6 423 0 24 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty Zehao Xiao Jiayi Shen Xiantong Zhen Ling Shao Cees G. M. Snoek BDL UQCV OOD 16 39 0 09 May 2021
Deep Domain Generalization with Feature-norm Network Mohammad Mahfujur Rahman Clinton Fookes S. Sridharan OOD 6 3 0 28 Apr 2021
FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space Quande Liu Cheng Chen J. Qin Qi Dou Pheng-Ann Heng OOD FedML 21 424 0 10 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 14 979 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 52 1,168 0 02 Mar 2021
Domain Invariant Representation Learning with Domain Density Transformations A. Nguyen Toan M. Tran Y. Gal A. G. Baydin OOD 16 73 0 09 Feb 2021
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017