82 citations · 101 across the 7 of their papers we have counts for
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cs.CL2020
EFSG: Evolutionary Fooling Sentences Generator
Marco Di Giovanni, Marco Brambilla
Large pre-trained language representation models (LMs) have recently collected a huge number of successes in many NLP tasks. In 2018 BERT, and later its successors (e.g. RoBERTa),…
cs.LG2020★ 6 cited
Semi-supervised Neural Networks solve an inverse problem for modeling Covid-19 spread
Alessandro Paticchio, Tommaso Scarlatti, Marios Mattheakis +2
Studying the dynamics of COVID-19 is of paramount importance to understanding the efficiency of restrictive measures and develop strategies to defend against upcoming contagion wav…