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Training with Quantization Noise for Extreme Model Compression

Training with Quantization Noise for Extreme Model Compression

15 April 2020
Angela Fan
Pierre Stock
Benjamin Graham
Edouard Grave
Remi Gribonval
Hervé Jégou
Armand Joulin
    MQ
ArXivPDFHTML

Papers citing "Training with Quantization Noise for Extreme Model Compression"

5 / 55 papers shown
Title
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
58
1,645
0
08 Jun 2020
An Overview of Neural Network Compression
An Overview of Neural Network Compression
James OÑeill
AI4CE
45
98
0
05 Jun 2020
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Victor Sanh
Thomas Wolf
Alexander M. Rush
19
466
0
15 May 2020
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
297
6,956
0
20 Apr 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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