5 citations · 7 across the 3 of their papers we have counts for
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cs.LG2019★ 5 cited
Training without training data: Improving the generalizability of automated medical abbreviation disambiguation
Marta Skreta, Aryan Arbabi, Jixuan Wang +1
Abbreviation disambiguation is important for automated clinical note processing due to the frequent use of abbreviations in clinical settings. Current models for automated abbrevia…
cs.LG2018★ 2 cited
-VAEs can retain label information even at high compression
Emily Fertig, Aryan Arbabi, Alexander A. Alemi
In this paper, we investigate the degree to which the encoding of a -VAE captures label information across multiple architectures on Binary Static MNIST and Omniglot. Even thoug…