1 code implementation • 4 Jun 2024 • Han Ji, Yuqi Feng, Yanan sun
Neural predictors are effective in boosting the time-consuming performance evaluation stage in neural architecture search (NAS), owing to their direct estimation of unseen architectures.
no code implementations • 25 Mar 2024 • Han Ji, Xiping Wu
The existing LB methods are mostly network-centric, relying on a central unit to make a solution for the users all at once.
no code implementations • 9 Aug 2022 • Han Ji, Qiang Wang, Stephen J. Redmond, Iman Tavakkolnia, Xiping Wu
In this paper, a novel deep neural network (DNN) structure named adaptive target-condition neural network (A-TCNN) is proposed, which conducts AP selection for one target user upon the condition of other users.