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Adaptive Methods for Real-World Domain Generalization

Adaptive Methods for Real-World Domain Generalization

29 March 2021
Abhimanyu Dubey
Vignesh Ramanathan
Alex Pentland
D. Mahajan
    OOD
ArXivPDFHTML

Papers citing "Adaptive Methods for Real-World Domain Generalization"

14 / 14 papers shown
Title
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Z. Zhang
Kai Zhang
Qi Liu
Weibo Gao
J. H. Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
113
0
0
04 May 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
Preserving Silent Features for Domain Generalization
Preserving Silent Features for Domain Generalization
Chujie Zhao
Tianren Zhang
Feng Chen
18
0
0
06 Jan 2024
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
16
9
0
05 Feb 2023
DEJA VU: Continual Model Generalization For Unseen Domains
DEJA VU: Continual Model Generalization For Unseen Domains
Chenxi Liu
Lixu Wang
Lingjuan Lyu
Chen Sun
Xiao Wang
Qi Zhu
CLL
OOD
21
22
0
25 Jan 2023
Adaptive Domain Generalization via Online Disagreement Minimization
Adaptive Domain Generalization via Online Disagreement Minimization
X. Zhang
Ying-Cong Chen
OOD
19
5
0
03 Aug 2022
Prefix Conditioning Unifies Language and Label Supervision
Prefix Conditioning Unifies Language and Label Supervision
Kuniaki Saito
Kihyuk Sohn
X. Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
VLM
CLIP
30
16
0
02 Jun 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTA
OOD
21
14
0
30 Mar 2022
A benchmark with decomposed distribution shifts for 360 monocular depth
  estimation
A benchmark with decomposed distribution shifts for 360 monocular depth estimation
G. Albanis
N. Zioulis
Petros Drakoulis
Federico Álvarez
D. Zarpalas
P. Daras
MDE
27
0
0
01 Dec 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous
  Meta-Learning
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning
Zhe Wang
J. E. Grigsby
Arshdeep Sekhon
Yanjun Qi
37
4
0
27 Sep 2021
Fishr: Invariant Gradient Variances for Out-of-Distribution
  Generalization
Fishr: Invariant Gradient Variances for Out-of-Distribution Generalization
Alexandre Ramé
Corentin Dancette
Matthieu Cord
OOD
30
204
0
07 Sep 2021
OoD-Bench: Quantifying and Understanding Two Dimensions of
  Out-of-Distribution Generalization
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
Nanyang Ye
Kaican Li
Haoyue Bai
Runpeng Yu
Lanqing Hong
Fengwei Zhou
Zhenguo Li
Jun Zhu
CML
OOD
32
106
0
07 Jun 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization
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
1,169
0
02 Mar 2021
Range Loss for Deep Face Recognition with Long-tail
Range Loss for Deep Face Recognition with Long-tail
Xiao Zhang
Zhiyuan Fang
Yandong Wen
Zhifeng Li
Yu Qiao
CVBM
232
446
0
28 Nov 2016
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