ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.10789
  4. Cited By
Domain Generalization by Mutual-Information Regularization with
  Pre-trained Models

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

21 March 2022
Junbum Cha
Kyungjae Lee
Sungrae Park
Sanghyuk Chun
    OOD
ArXivPDFHTML

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

50 / 100 papers shown
Title
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning
Lianbo Ma
Jianlun Ma
Yuee Zhou
Guoyang Xie
Qiang He
Zhichao Lu
MQ
29
0
0
08 May 2025
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
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
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization
Siqi Wang
Aoming Liu
Bryan A. Plummer
OOD
36
0
0
03 Apr 2025
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization
Haishan Wang
Mohammad Hassan Vali
Arno Solin
3DGS
54
0
0
03 Apr 2025
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization
Dongkwan Lee
Kyomin Hwang
Nojun Kwak
94
0
0
18 Mar 2025
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
What's in a Latent? Leveraging Diffusion Latent Space for Domain Generalization
Xavier Thomas
Deepti Ghadiyaram
DiffM
87
0
0
09 Mar 2025
Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zining Chen
Zhicheng Zhao
Fei Su
Xiaoqin Zhang
Shijian Lu
VLM
40
0
0
07 Mar 2025
Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP
Grad-ECLIP: Gradient-based Visual and Textual Explanations for CLIP
Chenyang Zhao
Kun Wang
J. H. Hsiao
Antoni B. Chan
CLIP
66
0
0
26 Feb 2025
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
Aodi Li
Liansheng Zhuang
Xiao Long
Minghong Yao
Shafei Wang
112
0
0
18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization
Meta Curvature-Aware Minimization for Domain Generalization
Z. Chen
Yiwen Ye
Feilong Tang
Yongsheng Pan
Yong-quan Xia
BDL
121
1
0
16 Dec 2024
Attention Head Purification: A New Perspective to Harness CLIP for
  Domain Generalization
Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
Yingfan Wang
Guoliang Kang
VLM
74
0
0
10 Dec 2024
Vision Transformer-based Semantic Communications With Importance-Aware
  Quantization
Vision Transformer-based Semantic Communications With Importance-Aware Quantization
Joohyuk Park
Yongjeong Oh
Yongjune Kim
Yo-Seb Jeon
MQ
56
0
0
08 Dec 2024
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning
  Zero-Shot Models
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models
Kaican Li
Weiyan Xie
Yongxiang Huang
Didan Deng
Lanqing Hong
Z. Li
Ricardo Silva
N. Zhang
62
0
0
29 Nov 2024
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language
  Models
UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models
Jiachen Liang
Ruibing Hou
Minyang Hu
Hong Chang
Shiguang Shan
Xilin Chen
VLM
36
1
0
11 Nov 2024
PromptTA: Prompt-driven Text Adapter for Source-free Domain
  Generalization
PromptTA: Prompt-driven Text Adapter for Source-free Domain Generalization
Haoran Zhang
Shuanghao Bai
Wanqi Zhou
Jingwen Fu
Badong Chen
VLM
OOD
TTA
20
2
0
21 Sep 2024
Weighted Risk Invariance: Domain Generalization under Invariant Feature
  Shift
Weighted Risk Invariance: Domain Generalization under Invariant Feature Shift
Gina Wong
Joshua Gleason
Ramalingam Chellappa
Yoav Wald
Anqi Liu
OOD
25
0
0
25 Jul 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with
  Orthogonal Regularization for Domain Generalization
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
33
4
0
21 Jul 2024
Domain-independent detection of known anomalies
Domain-independent detection of known anomalies
Jonas Buhler
Jonas Fehrenbach
Lucas Steinmann
Christian Nauck
Marios Koulakis
21
0
0
03 Jul 2024
Fine-Grained Domain Generalization with Feature Structuralization
Fine-Grained Domain Generalization with Feature Structuralization
Wenlong Yu
Dongyue Chen
Qilong Wang
Qinghua Hu
28
0
0
13 Jun 2024
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Domain Generalization Guided by Large-Scale Pre-Trained Priors
Zongbin Wang
Bin Pan
Shiyu Shen
Tianyang Shi
Zhenwei Shi
AI4CE
21
0
0
09 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation
Proxy Denoising for Source-Free Domain Adaptation
Song Tang
Wenxin Su
Mao Ye
Jianwei Zhang
Xiatian Zhu
Xiatian Zhu
62
1
0
03 Jun 2024
Grounding Stylistic Domain Generalization with Quantitative Domain Shift
  Measures and Synthetic Scene Images
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
32
0
0
24 May 2024
Adapting to Distribution Shift by Visual Domain Prompt Generation
Adapting to Distribution Shift by Visual Domain Prompt Generation
Zhixiang Chi
Li Gu
Tao Zhong
Huan Liu
Yuanhao Yu
Konstantinos N Plataniotis
Yang Wang
VLM
OOD
29
7
0
05 May 2024
Soft Prompt Generation for Domain Generalization
Soft Prompt Generation for Domain Generalization
Shuanghao Bai
Yuedi Zhang
Wanqi Zhou
Zhirong Luan
Badong Chen
VLM
32
3
0
30 Apr 2024
Transitive Vision-Language Prompt Learning for Domain Generalization
Transitive Vision-Language Prompt Learning for Domain Generalization
Liyuan Wang
Yan Jin
Zhen Chen
Jinlin Wu
Mengke Li
Yang Lu
Hanzi Wang
VLM
VPVLM
LRM
45
0
0
29 Apr 2024
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language
  Pre-training Models
Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models
Shouwei Ruan
Yinpeng Dong
Hanqing Liu
Yao Huang
Hang Su
Xingxing Wei
VLM
40
1
0
18 Apr 2024
PracticalDG: Perturbation Distillation on Vision-Language Models for
  Hybrid Domain Generalization
PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization
Zining Chen
Weiqiu Wang
Zhicheng Zhao
Fei Su
Aidong Men
Hongying Meng
VLM
30
7
0
13 Apr 2024
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization
Yunlong Tang
Yuxuan Wan
Lei Qi
Xin Geng
VLM
31
4
0
25 Mar 2024
SETA: Semantic-Aware Token Augmentation for Domain Generalization
SETA: Semantic-Aware Token Augmentation for Domain Generalization
Jintao Guo
Lei Qi
Yinghuan Shi
Yang Gao
ViT
24
1
0
18 Mar 2024
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain
  Generalization in Federated Learning
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
27
14
0
11 Mar 2024
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization
  via Extrapolation
Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
Yijiang Li
Sucheng Ren
Weipeng Deng
Yuzhi Xu
Ying Gao
Edith Ngai
Haohan Wang
OOD
33
1
0
08 Mar 2024
StochCA: A Novel Approach for Exploiting Pretrained Models with
  Cross-Attention
StochCA: A Novel Approach for Exploiting Pretrained Models with Cross-Attention
SeungWon Seo
Suho Lee
Sangheum Hwang
25
0
0
25 Feb 2024
HYPO: Hyperspherical Out-of-Distribution Generalization
HYPO: Hyperspherical Out-of-Distribution Generalization
Yifei Ming
Haoyue Bai
Julian Katz-Samuels
Yixuan Li
OODD
OOD
27
8
0
12 Feb 2024
Domain Generalization with Small Data
Domain Generalization with Small Data
Kecheng Chen
Elena Gal
Hong Yan
Haoliang Li
OOD
19
5
0
09 Feb 2024
Multimodal Unsupervised Domain Generalization by Retrieving Across the
  Modality Gap
Multimodal Unsupervised Domain Generalization by Retrieving Across the Modality Gap
Christopher Liao
Christian So
Theodoros Tsiligkaridis
Brian Kulis
21
0
0
06 Feb 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain
  Generalization
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
Learning Generalizable Models via Disentangling Spurious and Enhancing
  Potential Correlations
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations
Na Wang
Lei Qi
Jintao Guo
Yinghuan Shi
Yang Gao
OOD
22
4
0
11 Jan 2024
VLLaVO: Mitigating Visual Gap through LLMs
VLLaVO: Mitigating Visual Gap through LLMs
Shuhao Chen
Yulong Zhang
Weisen Jiang
Jiangang Lu
Yu Zhang
VLM
32
2
0
06 Jan 2024
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
18
0
0
06 Jan 2024
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular
  Regression
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression
Sergey Kolesnikov
CML
OOD
12
4
0
04 Dec 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality
  Distillation via CLIP for Domain Generalization
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization
Jixuan Leng
Yijiang Li
Haohan Wang
VLM
19
0
0
26 Nov 2023
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy
  Tradeoff for Out-of-Distribution Few-shot Learning
Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning
Christopher Liao
Theodoros Tsiligkaridis
Brian Kulis
OODD
31
5
0
21 Nov 2023
A2XP: Towards Private Domain Generalization
A2XP: Towards Private Domain Generalization
Geunhyeok Yu
Hyoseok Hwang
19
0
0
17 Nov 2023
MADG: Margin-based Adversarial Learning for Domain Generalization
MADG: Margin-based Adversarial Learning for Domain Generalization
Aveen Dayal
B. VimalK.
Linga Reddy Cenkeramaddi
C. K. Mohan
Abhinav Kumar
Vineeth N. Balasubramanian
OOD
AAML
19
62
0
14 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language
  Foundation Models
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
Andy Zhou
Jindong Wang
Yu-xiong Wang
Haohan Wang
VLM
33
6
0
02 Nov 2023
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
CHAMMI: A benchmark for channel-adaptive models in microscopy imaging
Zitong S. Chen
Chau Pham
Siqi Wang
Michael Doron
Nikita Moshkov
Bryan A. Plummer
Juan C. Caicedo
20
9
0
30 Oct 2023
Responsible AI (RAI) Games and Ensembles
Responsible AI (RAI) Games and Ensembles
Yash Gupta
Runtian Zhai
A. Suggala
Pradeep Ravikumar
10
0
0
28 Oct 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by
  Exploring Variant Parameters for Out-of-Distribution Generalization
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization
Zhuo Huang
Muyang Li
Li Shen
Jun-chen Yu
Chen Gong
Bo Han
Tongliang Liu
OOD
36
8
0
25 Oct 2023
Domain Generalization Using Large Pretrained Models with
  Mixture-of-Adapters
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters
Gyuseong Lee
Wooseok Jang
Jin Hyeon Kim
Jaewoo Jung
Seungryong Kim
MoE
OOD
17
2
0
17 Oct 2023
Towards Unified and Effective Domain Generalization
Towards Unified and Effective Domain Generalization
Yiyuan Zhang
Kaixiong Gong
Xiaohan Ding
Kaipeng Zhang
Fangrui Lv
Kurt Keutzer
Xiangyu Yue
AI4CE
OOD
FedML
23
4
0
16 Oct 2023
12
Next