R2F: A Remote Retraining Framework for AIoT Processors with Computing Errors

no code implementations • 7 Jul 2021 • Dawen Xu, Meng He, Cheng Liu, Ying Wang, Long Cheng, Huawei Li, Xiaowei Li, Kwang-Ting Cheng

It takes the remote AIoT processor with soft errors in the training loop such that the on-site computing errors can be learned with the application data on the server and the retrained models can be resilient to the soft errors.

Accelerating Generative Neural Networks on Unmodified Deep Learning Processors -- A Software Approach

2 code implementations • 3 Jul 2019 • Dawen Xu, Ying Wang, Kaijie Tu, Cheng Liu, Bingsheng He, Lei Zhang

Generative neural network is a new category of neural networks and it has been widely utilized in applications such as content generation, unsupervised learning, segmentation and pose estimation.

Pose Estimation