Our paper, “Dynamic Optimization of Neural Network Structures Using Probabilistic Modeling”, has been accepted to the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). This paper proposes the framework to dynamically optimize the neural network structure during the training using gradient-based method.
Best Paper Award in GECCO 2017
The menbers page has been updated. Now, our laboratory has two graduate and six undergraduate students.
Lecturer Shirakawa gave a research talk in the IEEE World Congress on Computational Intelligence (WCCI) 2016 which was held in Vancouver, Canada, 24-29 July.
The title of the presentation is “Impact of Invariant Objective for Order Preserving Transformation in Bayesian Optimization.”
Welcome to YNU Shirakawa laboratory!
In April 2016, our laboratory has started with Lecturer Shirakawa and two undergraduate students.