54 citations · 98 across the 23 of their papers we have counts for
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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.LG2018
Deep Algorithms: designs for networks
Abhejit Rajagopal, Shivkumar Chandrasekaran, Hrushikesh N. Mhaskar
A new design methodology for neural networks that is guided by traditional algorithm design is presented. To prove our point, we present two heuristics and demonstrate an algorithm…