27 citations · 58 across the 9 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024
PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Time
Alireza Pourali, Arian Boukani, Hamzeh Khazaei
Training deep learning models, particularly Transformer-based architectures such as Large Language Models (LLMs), demands substantial computational resources and extended training…
cs.LG2020★ 3 cited
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach
Omid Hajihassani, Omid Ardakanian, Hamzeh Khazaei
The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led t…