Mr. Thonglek's research presentation at IJCNN2020

Mr. Kundjanasith Thonglek presented the following paper at International Joint Conference on Neural Networks (IJCNN) of IEEE Word Congress on Computational Intelligence (WCCI) 2020.

Kundjanasith Thonglek, Keichi Takahashi, Kohei Ichikawa, Chawanat Nakasan, Hidemoto Nakada, Ryousei Takano and Hajimu Iida, “Retraining Quantized Neural Network Models with Unlabeled Data”, International Joint Conference on Neural Networks (IJCNN 2020), Jul. 2020.

In this paper, we focus on the fact that we cannot always access the original labeled datasets because of privacy policies and license limitations. We propose a method to retrain quantized neural network models using unlabeled datasets. This project is a collaboration with the National Institute of Advanced Industrial Science and Technology (AIST).

Kundjanasith Thonglek (Tem)
Dotoral Student

Doctoral student at Information Science, Nara Institute of Science and Technology, Japan