Ligeng Zhu

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning

2020 · arXiv (Cornell University)

We present Tiny-Transfer-Learning (TinyTL), an efficient on-device learning method to adapt pre-trained models to newly collected data on edge devices. Different from conventional transfer learning methods that fine-tune the full network or the last layer, …