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Edge Inference with Fully Differentiable Quantized Mixed Precision
  Neural Networks

Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks

15 June 2022
Clemens J. S. Schaefer
Siddharth Joshi
Shane Li
Raul Blazquez
    MQ
ArXivPDFHTML

Papers citing "Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks"

2 / 2 papers shown
Title
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
243
1,817
0
17 Sep 2019
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural
  Networks
ReLeQ: A Reinforcement Learning Approach for Deep Quantization of Neural Networks
Ahmed T. Elthakeb
Prannoy Pilligundla
Fatemehsadat Mireshghallah
Amir Yazdanbakhsh
H. Esmaeilzadeh
MQ
49
68
0
05 Nov 2018
1