Xinmei Tian

Domain Generalization via Conditional Invariant Representation

2018 · arXiv (Cornell University)

Domain generalization aims to apply knowledge gained from multiple labeled source domains to unseen target domains. The main difficulty comes from the dataset bias: training data and test data have different distributions, and the training …

Prompt Distribution Learning

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

We present prompt distribution learning for effectively adapting a pre-trained vision-language model to address downstream recognition tasks. Our method not only learns low-bias prompts from a few samples but also captures the distribution of diverse …

Structured Cooperative Learning with Graphical Model Priors

2023 · arXiv (Cornell University)

We study how to train personalized models for different tasks on decentralized devices with limited local data. We propose "Structured Cooperative Learning (SCooL)", in which a cooperation graph across devices is generated by a graphical …