68 citations · 164 across the 8 of their papers we have counts for
Showing 2020Show all
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cs.LG2020★ 8 cited
Revisiting BFloat16 Training
Pedram Zamirai, Jian Zhang, Christopher R. Aberger +1
State-of-the-art generic low-precision training algorithms use a mix of 16-bit and 32-bit precision, creating the folklore that 16-bit hardware compute units alone are not enough t…
cs.CL2020★ 6 cited
Understanding the Downstream Instability of Word Embeddings
Megan Leszczynski, Avner May, Jian Zhang +3
Many industrial machine learning (ML) systems require frequent retraining to keep up-to-date with constantly changing data. This retraining exacerbates a large challenge facing ML…