2 citations · 2 across the 4 of their papers we have counts for
1 paper · 1 filter
Edward Berman, Jacob Ginesin, Marco Pacini +1
Data-sparse settings such as robotic manipulation, molecular physics, and galaxy morphology classification are some of the hardest domains for deep learning. For these problems, eq…