450 citations · 883 across the 31 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2020★ 45 cited
Reducing DNN Labelling Cost using Surprise Adequacy: An Industrial Case Study for Autonomous Driving
Jinhan Kim, Jeongil Ju, Robert Feldt +1
Deep Neural Networks (DNNs) are rapidly being adopted by the automotive industry, due to their impressive performance in tasks that are essential for autonomous driving. Object seg…
cs.LG2019★ 70 cited
Arachne: Search Based Repair of Deep Neural Networks
Jeongju Sohn, Sungmin Kang, Shin Yoo
The rapid and widespread adoption of Deep Neural Networks (DNNs) has called for ways to test their behaviour, and many testing approaches have successfully revealed misbehaviour of…