Deploying machine learning models requires high model quality and needs to comply with application constraints.
3 code implementations • 14 Feb 2022 • Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Gorkem Ulkar, Erman Okman, Xuanting Cai, Xia Hu
DNNs have been an effective tool for data processing and analysis.
1 code implementation • 9 Aug 2021 • Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
Action recognition is an important task for video understanding with broad applications.
Differentiable NAS with supernets that encompass all potential architectures in a large graph cuts down search overhead to few GPU days or less.
Quantum Language Models (QLMs) in which words are modelled as quantum superposition of sememes have demonstrated a high level of model transparency and good post-hoc interpretability.
Automated machine learning (AutoML) aims to find optimal machine learning solutions automatically given a machine learning problem.