20 citations · 61 across the 12 of their papers we have counts for
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cs.LG2021
NanoBatch Privacy: Enabling fast Differentially Private learning on the IPU
Edward H. Lee, Mario Michael Krell, Alexander Tsyplikhin +3
Differentially private SGD (DPSGD) has recently shown promise in deep learning. However, compared to non-private SGD, the DPSGD algorithm places computational overheads that can un…
cs.CV2021★ 1 cited
OrigamiSet1.0: Two New Datasets for Origami Classification and Difficulty Estimation
Daniel Ma, Gerald Friedland, Mario Michael Krell
Origami is becoming more and more relevant to research. However, there is no public dataset yet available and there hasn't been any research on this topic in machine learning. We c…