Jan 2021 - Present
This is a project held by the Ministry of Science and Technology in Taiwan. I was a member of a five-people team (including the professor). We tackled training a neural network when there are only a limited amount of data. We integrated supervised learning, self-supervised learning, batch pseudo-labeling, Mixup, and Smart Augmentation in our system. In addition, we focused on industrial datasets, e.g., wafer datasets, electrocardiography, etc. We successfully derived a pleasing prediction accuracy using our framework.