J Waring, C Lindvall, R Umeton - Artificial intelligence in medicine, 2020 - Elsevier
Objective This work aims to provide a review of the existing literature in the field of automated machine learning (AutoML) to help healthcare professionals better utilize …
P Liashchynskyi, P Liashchynskyi - arXiv preprint arXiv:1912.06059, 2019 - arxiv.org
In this paper, we compare the three most popular algorithms for hyperparameter optimization (Grid Search, Random Search, and Genetic Algorithm) and attempt to use them …
X He, K Zhao, X Chu - Knowledge-based systems, 2021 - Elsevier
Deep learning (DL) techniques have obtained remarkable achievements on various tasks, such as image recognition, object detection, and language modeling. However, building a …
L Deng, G Li, S Han, L Shi, Y Xie - Proceedings of the IEEE, 2020 - ieeexplore.ieee.org
Domain-specific hardware is becoming a promising topic in the backdrop of improvement slow down for general-purpose processors due to the foreseeable end of Moore's Law …
H Cai, L Zhu, S Han - arXiv preprint arXiv:1812.00332, 2018 - arxiv.org
Neural architecture search (NAS) has a great impact by automatically designing effective neural network architectures. However, the prohibitive computational demand of …
K Wang, Z Liu, Y Lin, J Lin… - Proceedings of the IEEE …, 2019 - openaccess.thecvf.com
Abstract Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support …
In the past decade, advances in deep learning have resulted in breakthroughs in a variety of areas, including computer vision, natural language understanding, speech recognition, and …
Deep Learning has enabled remarkable progress over the last years on a variety of tasks, such as image recognition, speech recognition, and machine translation. One crucial aspect …
P Ye, B Li, Y Li, T Chen, J Fan… - proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Neural Architecture Search (NAS) has attracted increasingly more attention in recent years because of its capability to design deep neural network automatically. Among …