1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2024
Reinforcement Learning for Online Testing of Autonomous Driving Systems: a Replication and Extension Study
Luca Giamattei, Matteo Biagiola, Roberto Pietrantuono +2
In a recent study, Reinforcement Learning (RL) used in combination with many-objective search, has been shown to outperform alternative techniques (random search and many-objective…
cs.LG2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks
Michael Weiss, Paolo Tonella
Recent decades have seen the rise of large-scale Deep Neural Networks (DNNs) to achieve human-competitive performance in a variety of artificial intelligence tasks. Often consistin…
cs.SE2023★ 1 cited
Repairing DNN Architecture: Are We There Yet?
Jinhan Kim, Nargiz Humbatova, Gunel Jahangirova +2
As Deep Neural Networks (DNNs) are rapidly being adopted within large software systems, software developers are increasingly required to design, train, and deploy such models into…