343 citations · 533 across the 25 of their papers we have counts for
Showing 2021Show all
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cs.CL2021★ 1 cited
Learning Hierarchical Structures with Differentiable Nondeterministic Stacks
Brian DuSell, David Chiang
Learning hierarchical structures in sequential data -- from simple algorithmic patterns to natural language -- in a reliable, generalizable way remains a challenging problem for ne…
cs.CL2021
Data Augmentation by Concatenation for Low-Resource Translation: A Mystery and a Solution
Toan Q. Nguyen, Kenton Murray, David Chiang
In this paper, we investigate the driving factors behind concatenation, a simple but effective data augmentation method for low-resource neural machine translation. Our experiments…
cs.LG2021★ 2 cited
Named Tensor Notation
David Chiang, Alexander M. Rush, Boaz Barak
We propose a notation for tensors with named axes, which relieves the author, reader, and future implementers of machine learning models from the burden of keeping track of the ord…