3 citations · 7 across the 3 of their papers we have counts for
3 papers
Flexible Multiple-Objective Reinforcement Learning for Chip Placement
Fu-Chieh Chang, Yu-Wei Tseng, Ya-Wen Yu +11
Recently, successful applications of reinforcement learning to chip placement have emerged. Pretrained models are necessary to improve efficiency and effectiveness. Currently, the…
G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data
Fu-Chieh Chang, Hao-Jen Wang, Chun-Nan Chou +1
Performing supervised learning from the data synthesized by using Generative Adversarial Networks (GANs), dubbed GAN-synthetic data, has two important applications. First, GANs may…
Representation Learning on Large and Small Data
Chun-Nan Chou, Chuen-Kai Shie, Fu-Chieh Chang +2
Deep learning owes its success to three key factors: scale of data, enhanced models to learn representations from data, and scale of computation. This book chapter presented the im…