Kento Nishi

“Augmentation Strategies for Learning With Insufficient Data”

In the data-driven world, algorithms require massive amounts of data in order to accurately model the world. However, many fields of research — rare diseases and uncommon objects — lack available data. Nishi combats this problem with transformations that magnify a small dataset by a thousand times.