11 citations · 54 across the 19 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2021★ 4 cited
Adversarially Optimized Mixup for Robust Classification
Jason Bunk, Srinjoy Chattopadhyay, B. S. Manjunath +1
Mixup is a procedure for data augmentation that trains networks to make smoothly interpolated predictions between datapoints. Adversarial training is a strong form of data augmenta…
cs.LG2019
Predicting Fluid Intelligence of Children using T1-weighted MR Images and a StackNet
Po-Yu Kao, Angela Zhang, Michael Goebel +2
In this work, we utilize T1-weighted MR images and StackNet to predict fluid intelligence in adolescents. Our framework includes feature extraction, feature normalization, feature…