Combining Cloud and Mobile Computing for Machine Learning

no code implementations • 20 Jan 2024 • Ruiqi Xu, Tianchi Zhang

Although the computing power of mobile devices is increasing, machine learning models are also growing in size.

Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-Training

1 code implementation • 19 Sep 2023 • Ruiqi Xu, Yongfeng Huang, Xin Chen, Lin Zhang

In this work, we introduce the concept of complex text style transfer tasks, and constructed complex text datasets based on two widely applicable scenarios.

Attribute Contrastive Learning +2

Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization

1 code implementation • ICLR 2022 • Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu

Our NTL-based authorization approach instead provides data-centric protection, which we call applicability authorization, by significantly degrading the performance of the model on unauthorized data.