3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"
Junbo Zhao, Xuefei Ning, Enshu Liu +7
Predictor-based Neural Architecture Search (NAS) employs an architecture performance predictor to improve the sample efficiency. However, predictor-based NAS suffers from the sever…
cs.CV2022★ 2 cited
CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS
Zixuan Zhou, Xuefei Ning, Yi Cai +5
One-shot Neural Architecture Search (NAS) has been widely used to discover architectures due to its efficiency. However, previous studies reveal that one-shot performance estimatio…
cs.RO2021★ 3 cited
Multi-Agent Vulnerability Discovery for Autonomous Driving with Hazard Arbitration Reward
Weilin Liu, Ye Mu, Chao Yu +6
Discovering hazardous scenarios is crucial in testing and further improving driving policies. However, conducting efficient driving policy testing faces two key challenges. On the…