General-Purpose Multi-Modal OOD Detection Framework

no code implementations • 24 Jul 2023 • Viet Duong, Qiong Wu, Zhengyi Zhou, Eric Zavesky, Jiahe Chen, Xiangzhou Liu, Wen-Ling Hsu, Huajie Shao

To reach this goal, we propose a general-purpose weakly-supervised OOD detection framework, called WOOD, that combines a binary classifier and a contrastive learning component to reap the benefits of both.

Contrastive Learning Out of Distribution (OOD) Detection

FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users

no code implementations • 13 Jun 2021 • Xiaopeng Jiang, Shuai Zhao, Guy Jacobson, Rittwik Jana, Wen-Ling Hsu, Manoop Talasila, Syed Anwar Aftab, Yi Chen, Cristian Borcea

The framework runs on the phones of the users and also on a server that coordinates learning from all users in the system.

Federated Learning Transfer Learning