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AxFormer: Accuracy-driven Approximation of Transformers for Faster,
  Smaller and more Accurate NLP Models

AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models

7 October 2020
Amrit Nagarajan
Sanchari Sen
Jacob R. Stevens
A. Raghunathan
ArXivPDFHTML

Papers citing "AxFormer: Accuracy-driven Approximation of Transformers for Faster, Smaller and more Accurate NLP Models"

3 / 3 papers shown
Title
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing
Canwen Xu
Wangchunshu Zhou
Tao Ge
Furu Wei
Ming Zhou
231
198
0
07 Feb 2020
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT
Sheng Shen
Zhen Dong
Jiayu Ye
Linjian Ma
Z. Yao
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
236
576
0
12 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
299
6,996
0
20 Apr 2018
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