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Energy and Policy Considerations for Deep Learning in NLP

Authors: nan

Publication: TIPSTER (2019)

DOI: nan

AbstractRecent progress in hardware and methodology for training neural networks has ushered in a new generation of large networks trained on abundant data. These models have obtained notable gains in …...

39609

Efficiently Reusing Old Models Across Languages via Transfer Learning

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractRecent progress in neural machine translation (NMT) is directed towards larger neural networks trained on an increasing amount of hardware resources. As a result, NMT models are costly to train, …...

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Multiple Teacher Distillation for Robust and Greener Models

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractThe language models nowadays are in the center of natural language processing progress. These models are mostly of significant size. There are successful attempts to reduce them, but at least …...

20271