Chuang Gan

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, …

An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training

2023 · arXiv (Cornell University)

We present a model that can perform multiple vision tasks and can be adapted to other downstream tasks efficiently. Despite considerable progress in multi-task learning, most efforts focus on learning from multi-label data: a single …