19 citations · 24 across the 4 of their papers we have counts for
4 papers
Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse
Garrett Wilson, Geoffrey Goh, Yan Jiang +4
Detecting phishing, spam, fake accounts, data scraping, and other malicious activity in online social networks (OSNs) is a problem that has been studied for well over a decade, wit…
CovidMis20: COVID-19 Misinformation Detection System on Twitter Tweets using Deep Learning Models
Aos Mulahuwaish, Manish Osti, Kevin Gyorick +3
Online news and information sources are convenient and accessible ways to learn about current issues. For instance, more than 300 million people engage with posts on Twitter global…
Combining Compressions for Multiplicative Size Scaling on Natural Language Tasks
Rajiv Movva, Jinhao Lei, Shayne Longpre +2
Quantization, knowledge distillation, and magnitude pruning are among the most popular methods for neural network compression in NLP. Independently, these methods reduce model size…
Offensive Language and Hate Speech Detection with Deep Learning and Transfer Learning
Bencheng Wei, Jason Li, Ajay Gupta +3
Toxic online speech has become a crucial problem nowadays due to an exponential increase in the use of internet by people from different cultures and educational backgrounds. Diffe…