no code implementations • 5 Oct 2023 • Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi
In this paper, we propose a technique that leverages inexpensive Hadamard transforms to enable low-precision training with only integer matrix multiplications.
1 code implementation • 19 Apr 2021 • Saurav Jha, Martin Schiemer, Franco Zambonelli, Juan Ye
This paper aims to assess to what extent such continual learning techniques can be applied to the HAR domain.
1 code implementation • 6 Jul 2020 • Saurav Jha, Martin Schiemer, Juan Ye
Given the growing trend of continual learning techniques for deep neural networks focusing on the domain of computer vision, there is a need to identify which of these generalizes well to other tasks such as human activity recognition (HAR).