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"

50 / 88 papers shown

Title
Vision and Language Integration for Domain Generalization Yanmei Wang Xiyao Liu Fupeng Chu Zhi-Long Han VLM 39 0 0 17 Apr 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization Lin Zhu Yifeng Yang Zichao Nie Yuan Gao VLM 28 3 0 13 Apr 2025
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization Qi Bi Jingjun Yi Hao Zheng Haolan Zhan Wei Ji Yawen Huang Yuexiang Li OOD 30 1 0 10 Apr 2025
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation Yuhan Liu Yixiong Zou Yuhua Li Ruixuan Li 43 0 0 27 Mar 2025
Single Domain Generalization with Adversarial Memory Hao Yan Marzi Heidari Yuhong Guo 61 0 0 08 Mar 2025
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection Boyong He Yuxiang Ji Qianwen Ye Zhuoyue Tan Liaoni Wu DiffM 58 0 0 03 Mar 2025
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts Sameer Ambekar Zehao Xiao Xiantong Zhen Cees G. M. Snoek OOD 60 0 0 15 Feb 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 121 0 0 18 Dec 2024
MLDGG: Meta-Learning for Domain Generalization on Graphs Q. Tian Chen Zhao Minglai Shao Wenjun Wang Yujie Lin Dong Li OOD AI4CE 82 1 0 19 Nov 2024
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms Boqi Chen Yuanzhi Zhu Yunke Ao Sebastiano Caprara Reto Sutter Gunnar Rätsch E. Konukoglu A. Susmelj MedIm DiffM OOD 46 0 0 07 Nov 2024
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization Pengkun Jiao Na Zhao Jingjing Chen Yu-Gang Jiang OOD 26 0 0 05 Nov 2024
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization Xilin He Jingyu Hu Qinliang Lin Cheng Luo Weicheng Xie Siyang Song M. H. Khan L. Shen 33 2 0 21 Oct 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
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization Songhua Liu Xin Jin Xingyi Yang Jingwen Ye Xinchao Wang OOD 33 1 0 01 Jun 2024
Continuous Temporal Domain Generalization Z. Cai Guangji Bai Renhe Jiang Xuan Song Liang Zhao 38 2 0 25 May 2024
Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection Yajing Liu Shijun Zhou Xiyao Liu Chunhui Hao Baojie Fan Jiandong Tian ObjD 34 10 0 24 May 2024
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation Jiapeng Su Qi Fan Guangming Lu Fanglin Chen Wenjie Pei 26 5 0 16 Apr 2024
DGMamba: Domain Generalization via Generalized State Space Model Shaocong Long Qianyu Zhou Xiangtai Li Xuequan Lu Chenhao Ying Yuan Luo Lizhuang Ma Shuicheng Yan 49 9 0 11 Apr 2024
Domain Generalization through Meta-Learning: A Survey Arsham Gholamzadeh Khoee Yinan Yu R. Feldt AI4CE OOD 30 15 0 03 Apr 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning Sikai Bai Jiewei Zhang Shuaicheng Li Song Guo Jingcai Guo Jun Hou Tao Han Xiaocheng Lu FedML 32 14 0 11 Mar 2024
Recurrent Aligned Network for Generalized Pedestrian Trajectory Prediction Yonghao Dong Le Wang Sanpin Zhou Gang Hua Changyin Sun 37 5 0 09 Mar 2024
Learning to Maximize Mutual Information for Chain-of-Thought Distillation Xin Chen Hanxian Huang Yanjun Gao Yi Wang Jishen Zhao Ke Ding 35 11 0 05 Mar 2024
Hacking Task Confounder in Meta-Learning Jingyao Wang Yi Ren Zeen Song Xingzhe Su Changwen Zheng Wenwen Qiang CML 10 8 0 10 Dec 2023
Parameter Exchange for Robust Dynamic Domain Generalization Luojun Lin Zhifeng Shen Zhishu Sun Yuanlong Yu Lei Zhang Weijie Chen OOD 15 6 0 23 Nov 2023
A2XP: Towards Private Domain Generalization Geunhyeok Yu Hyoseok Hwang 19 0 0 17 Nov 2023
Disentangled Representation Learning with Transmitted Information Bottleneck Zhuohang Dang Minnan Luo Chengyou Jia Guangwen Dai Jihong Wang Xiao Chang Jingdong Wang Qinghua Zheng 17 4 0 03 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Shiqiang Wang Christopher G. Brinton Jaekyun Moon OOD FedML 16 15 0 01 Nov 2023
Adaptive Communications in Collaborative Perception with Domain Alignment for Autonomous Driving Senkang Hu Zhengru Fang Haonan An Guowen Xu Yuan Zhou Xianhao Chen Yuguang Fang 25 17 0 15 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 19 10 0 08 Sep 2023
Domain Generalization via Balancing Training Difficulty and Model Capability Xue-Qiu Jiang Jiaxing Huang Sheng Jin Shijian Lu 16 13 0 02 Sep 2023
Domain Generalization without Excess Empirical Risk Ozan Sener V. Koltun 16 8 0 30 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization Aristotelis Ballas Christos Diou OOD 17 6 0 28 Aug 2023
Generalized Lightness Adaptation with Channel Selective Normalization Mingde Yao Jie Huang Xin Jin Ruikang Xu Shenglong Zhou Man Zhou Zhiwei Xiong 28 13 0 26 Aug 2023
Trustworthy Representation Learning Across Domains Ronghang Zhu Dongliang Guo Daiqing Qi Zhixuan Chu Xiang Yu Sheng R. Li FaML AI4TS 24 2 0 23 Aug 2023
TDG: Text-guided Domain Generalization Geng-Ming Liu Yuxi Wang OOD 20 2 0 19 Aug 2023
A Novel Cross-Perturbation for Single Domain Generalization Dongjia Zhao Lei Qi Xiao Shi Yinghuan Shi Xin Geng 19 2 0 02 Aug 2023
Probabilistic Test-Time Generalization by Variational Neighbor-Labeling Sameer Ambekar Zehao Xiao Jiayi Shen Xiantong Zhen Cees G. M. Snoek BDL OOD 25 1 0 08 Jul 2023
Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization Jun-Gyu Park Dong-Jun Han Soyeong Kim Jaekyun Moon OOD TTA 16 11 0 08 Jun 2023
CNN Feature Map Augmentation for Single-Source Domain Generalization Aristotelis Ballas Christos Diou OOD 19 3 0 26 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 21 11 0 10 May 2023
Recognizable Information Bottleneck Yilin Lyu Xin Liu M. Song Xinyue Wang Yaxin Peng T. Zeng L. Jing 18 4 0 28 Apr 2023
Meta-causal Learning for Single Domain Generalization Jin Chen Zhiqiang Gao Xinxiao Wu Jiebo Luo OOD 21 41 0 07 Apr 2023
Randomized Adversarial Style Perturbations for Domain Generalization Taehoon Kim Bohyung Han AAML 14 2 0 04 Apr 2023
CNNs with Multi-Level Attention for Domain Generalization Aristotelis Ballas Christos Diou OOD 14 6 0 02 Apr 2023
Robust Test-Time Adaptation in Dynamic Scenarios Longhui Yuan Binhui Xie Shuangliang Li TTA 23 109 0 24 Mar 2023
Anomaly Detection under Distribution Shift T. Cao Jiawen Zhu Guansong Pang 35 26 0 24 Mar 2023
Towards Domain Generalization for ECG and EEG Classification: Algorithms and Benchmarks Aristotelis Ballas Christos Diou OOD 15 11 0 20 Mar 2023
Indescribable Multi-modal Spatial Evaluator Lingke Kong X. Qi Qijin Shen Jiacheng Wang Jingyi Zhang Yanle Hu Qichao Zhou 22 7 0 01 Mar 2023
Learning to Generalize towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection from Chest X-rays Mohammad Zunaed M. Haque Taufiq Hasan OOD 12 5 0 27 Feb 2023
Energy-Based Test Sample Adaptation for Domain Generalization Zehao Xiao Xiantong Zhen Shengcai Liao Cees G. M. Snoek TTA 38 17 0 22 Feb 2023