Summary of Is Large-scale Pretraining the Secret to Good Domain Generalization?, by Piotr Teterwak et al.
Is Large-Scale Pretraining the Secret to Good Domain Generalization?by Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis,…
Is Large-Scale Pretraining the Secret to Good Domain Generalization?by Piotr Teterwak, Kuniaki Saito, Theodoros Tsiligkaridis,…
QUOTA: Quantifying Objects with Text-to-Image Models for Any Domainby Wenfang Sun, Yingjun Du, Gaowen Liu,…
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in…
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MLDGG: Meta-Learning for Domain Generalization on Graphsby Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang,…
Federated Domain Generalization via Prompt Learning and Aggregationby Shuai Gong, Chaoran Cui, Chunyun Zhang, Wenna…
Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation…
Generalizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanismsby Boqi Chen, Yuanzhi Zhu, Yunke…
Beyond Model Adaptation at Test Time: A Surveyby Zehao Xiao, Cees G. M. SnoekFirst submitted…
FEED: Fairness-Enhanced Meta-Learning for Domain Generalizationby Kai Jiang, Chen Zhao, Haoliang Wang, Feng ChenFirst submitted…