2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 2 cited
Catastrophic Forgetting in the Context of Model Updates
Rich Harang, Hillary Sanders
A large obstacle to deploying deep learning models in practice is the process of updating models post-deployment (ideally, frequently). Deep neural networks can cost many thousands…
cs.LG2023★ 1 cited
Magnificent Minified Models
Rich Harang, Hillary Sanders
This paper concerns itself with the task of taking a large trained neural network and 'compressing' it to be smaller by deleting parameters or entire neurons, with minimal decrease…
cs.CR2018★ 1 cited
A Deep Learning Approach to Fast, Format-Agnostic Detection of Malicious Web Content
Joshua Saxe, Richard Harang, Cody Wild +1
Malicious web content is a serious problem on the Internet today. In this paper we propose a deep learning approach to detecting malevolent web pages. While past work on web conten…