Compressing Language Models using Doped Kronecker Products

24 Jan 2020Urmish ThakkerPaul WhatmoughMatthew MattinaJesse Beu

Kronecker Products (KP) have been used to compress IoT RNN Applications by 15-38x compression factors, achieving better results than traditional compression methods. However when KP is applied to large Natural Language Processing tasks, it leads to significant accuracy loss (approx 26%)... (read more)

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