Unified Alignment Protocol: Making Sense of the Unlabeled Data in New Domains

no code implementations • 27 May 2025 • Sabbir Ahmed, Mamshad Nayeem Rizve, Abdullah Al Arafat, Jacqueline Liu, Rahim Hossain, Mohaiminul Al Nahian, Adnan Siraj Rakin

Semi-Supervised Federated Learning (SSFL) is gaining popularity over conventional Federated Learning in many real-world applications.

Domain Generalization Federated Learning

Learning to Linearize Deep Neural Networks for Secure and Efficient Private Inference

no code implementations • 23 Jan 2023 • Souvik Kundu, Shunlin Lu, Yuke Zhang, Jacqueline Liu, Peter A. Beerel

For a similar ReLU budget SENet can yield models with ~2. 32% improved classification accuracy, evaluated on CIFAR-100.

Regular Expressions for Fast-response COVID-19 Text Classification

no code implementations • 18 Feb 2021 • Igor L. Markov, Jacqueline Liu, Adam Vagner

For COVID-19, we build two sets of regular expressions: (1) for 66 languages, with 99% precision and recall >50%, (2) for the 11 most common languages, with precision >90% and recall >90%.

General Classification text-classification +1