Domain Generalization by Mutual-Information Regularization with Pre-trained Models

21 March 2022

Papers citing "Domain Generalization by Mutual-Information Regularization with Pre-trained Models"

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Title
Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification Sravanti Addepalli Ashish Ramayee Asokan Lakshay Sharma R. V. Babu VLM 19 15 0 12 Oct 2023
Towards Domain-Specific Features Disentanglement for Domain Generalization Hao Chen Qi Zhang Zenan Huang Haobo Wang Jun Zhao OOD 35 1 0 04 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization Nokyung Park Daewon Chae Jeongyong Shim Sangpil Kim Eun-Sol Kim Jinkyu Kim OOD 23 1 0 04 Oct 2023
CODA: Temporal Domain Generalization via Concept Drift Simulator Chia-Yuan Chang Yu-Neng Chuang Zhimeng Jiang Kwei-Herng Lai Anxiao Jiang Na Zou OOD 13 4 0 02 Oct 2023
Nearest Neighbor Guidance for Out-of-Distribution Detection Jaewoo Park Yoon Gyo Jung Andrew Beng Jin Teoh OODD 25 30 0 26 Sep 2023
A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance Zeyi Huang Andy Zhou Zijian Lin Mu Cai Haohan Wang Yong Jae Lee VLM OOD 19 27 0 21 Sep 2023
DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification Aleksandr Matsun Dana O. Mohamed Sharon Chokuwa Muhammad Ridzuan Mohammad Yaqub OOD 44 2 0 18 Sep 2023
BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning Yi Zhang Ce Zhang Zihan Liao Yushun Tang Zhihai He BDL VLM 16 10 0 03 Sep 2023
Read-only Prompt Optimization for Vision-Language Few-shot Learning Dongjun Lee Seokwon Song Jihee G. Suh Joonmyeong Choi S. Lee Hyunwoo J.Kim VLM 34 39 0 29 Aug 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration Ran Liu Sahil Khose Jingyun Xiao Lakshmi Sathidevi Keerthan Ramnath Z. Kira Eva L. Dyer 19 3 0 28 Aug 2023
Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization Aristotelis Ballas Christos Diou OOD 17 6 0 28 Aug 2023
Domain Generalization via Rationale Invariance Liang Chen Yong Zhang Yibing Song A. Hengel Lingqiao Liu OOD 19 12 0 22 Aug 2023
DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization Jintao Guo Lei Qi Yinghuan Shi OOD 25 20 0 20 Aug 2023
TDG: Text-guided Domain Generalization Geng-Ming Liu Yuxi Wang OOD 20 2 0 19 Aug 2023
Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization Xiran Wang Jian Zhang Lei Qi Yinghuan Shi 19 19 0 18 Aug 2023
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization Junhyeong Cho Gilhyun Nam Sungyeon Kim Hunmin Yang Suha Kwak VLM OOD TTA 19 47 0 27 Jul 2023
Flatness-Aware Minimization for Domain Generalization Xingxuan Zhang Renzhe Xu Han Yu Yancheng Dong Pengfei Tian Peng Cu 14 20 0 20 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 81 1 0 17 Jul 2023
DISPEL: Domain Generalization via Domain-Specific Liberating Chia-Yuan Chang Yu-Neng Chuang Guanchu Wang Mengnan Du Zou Na 18 6 0 14 Jul 2023
A Causal Framework to Unify Common Domain Generalization Approaches N. Zhang Kaican Li Han Gao Weiyan Xie Zhi Lin Z. Li Luning Wang Yongxiang Huang FedML OOD AI4CE 14 2 0 13 Jul 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 19 6 0 15 Jun 2023
Rethinking the Evaluation Protocol of Domain Generalization Han Yu Xingxuan Zhang Renzhe Xu Jiashuo Liu Yue He Peng Cui OOD 22 7 0 24 May 2023
POEM: Polarization of Embeddings for Domain-Invariant Representations Sang-Yeong Jo Sung Whan Yoon 8 8 0 22 May 2023
ERM++: An Improved Baseline for Domain Generalization Piotr Teterwak Kuniaki Saito Theodoros Tsiligkaridis Kate Saenko Bryan A. Plummer OOD 18 9 0 04 Apr 2023
Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection Kuniaki Saito Donghyun Kim Piotr Teterwak Rogerio Feris Kate Saenko 25 1 0 26 Mar 2023
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain Generalization Yuanwei Bi Zhongliang Jiang Ricarda Clarenbach R. Ghotbi A. Karlas Nassir Navab 13 20 0 22 Mar 2023
Sharpness-Aware Gradient Matching for Domain Generalization Pengfei Wang Zhaoxiang Zhang Zhen Lei Lei Zhang 6 81 0 18 Mar 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 22 12 0 13 Mar 2023
Domain-aware Triplet loss in Domain Generalization Kai Guo Brian C. Lovell OOD 14 6 0 01 Mar 2023
DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks Samyak Jain Sravanti Addepalli P. Sahu Priyam Dey R. Venkatesh Babu MoMe OOD 30 20 0 28 Feb 2023
StyLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-based Domain Generalization Shirsha Bose Ankit Jha Enrico Fini Mainak Singha Elisa Ricci Biplab Banerjee VLM 26 22 0 18 Feb 2023
EnfoMax: Domain Entropy and Mutual Information Maximization for Domain Generalized Face Anti-spoofing Tianyi Zheng CVBM 13 2 0 17 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 11 6 0 03 Feb 2023
CLIPood: Generalizing CLIP to Out-of-Distributions Yang Shu Xingzhuo Guo Jialong Wu Ximei Wang Jianmin Wang Mingsheng Long OODD VLM 41 74 0 02 Feb 2023
Domain Generalization with Correlated Style Uncertainty Zheyu Zhang Bin Wang Debesh Jha Ugur Demir Ulas Bagci OOD 25 5 0 20 Dec 2022
Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs Junbum Cha Jonghwan Mun Byungseok Roh VLM 13 87 0 01 Dec 2022
Context-Aware Robust Fine-Tuning Xiaofeng Mao YueFeng Chen Xiaojun Jia Rong Zhang Hui Xue Zhao Li VLM CLIP 17 23 0 29 Nov 2022
Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Recommendation Systems Parikshit Bansal Yashoteja Prabhu Emre Kıcıman Amit Sharma CML OOD 22 0 0 07 Oct 2022
TripleE: Easy Domain Generalization via Episodic Replay X. Li Hongyu Ren Huifeng Yao Ziwei Liu 11 0 0 04 Oct 2022
Learning an Invertible Output Mapping Can Mitigate Simplicity Bias in Neural Networks Sravanti Addepalli Anshul Nasery R. Venkatesh Babu Praneeth Netrapalli Prateek Jain AAML 16 3 0 04 Oct 2022
Domain-Unified Prompt Representations for Source-Free Domain Generalization Hongjing Niu Hanting Li Feng Zhao Bin Li VLM 45 18 0 29 Sep 2022
Exploring Visual Interpretability for Contrastive Language-Image Pre-training Yi Li Hualiang Wang Yiqun Duan Han Xu Xiaomeng Li CLIP VLM 98 25 0 15 Sep 2022
DAFT: Distilling Adversarially Fine-tuned Models for Better OOD Generalization Anshul Nasery Sravanti Addepalli Praneeth Netrapalli Prateek Jain OOD FedML 24 1 0 19 Aug 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 14 29 0 18 Mar 2022
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains X. Zhang S. Gu Yutaka Matsuo Yusuke Iwasawa VLM 30 36 0 25 Nov 2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun OOD 374 49 0 06 Oct 2021
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip H. S. Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 205 246 0 20 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 62 260 0 20 Apr 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 422 0 17 Feb 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 888 0 02 Mar 2020