3 papers
cs.LG2021
Benchmarking Machine Learning: How Fast Can Your Algorithms Go?
Zeyu Ning, Hugues Nelson Iradukunda, Qingquan Zhang +1
This paper is focused on evaluating the effect of some different techniques in machine learning speed-up, including vector caches, parallel execution, and so on. The following cont…
cs.LG2020
MailLeak: Obfuscation-Robust Character Extraction Using Transfer Learning
Wei Wang, Emily Sallenback, Zeyu Ning +4
The following work presents a new algorithm for character recognition from obfuscated images. The presented method is an example of a potential threat to current postal services. T…
eess.SY2020
Benchmarking Resource Usage of Underlying Datatypes of Apache Spark
Brittany Nicholls, Mariama Adangwa, Rachel Estes +3
The purpose of this paper is to examine how resource usage of an analytic is affected by the different underlying datatypes of Spark analytics - Resilient Distributed Datasets (RDD…