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On Periodic Functions as Regularizers for Quantization of Neural
  Networks

On Periodic Functions as Regularizers for Quantization of Neural Networks

24 November 2018
Maxim Naumov
Utku Diril
Jongsoo Park
Benjamin Ray
Jedrzej Jablonski
Andrew Tulloch
    MQ
ArXivPDFHTML

Papers citing "On Periodic Functions as Regularizers for Quantization of Neural Networks"

7 / 7 papers shown
Title
Cauchy-Schwarz Regularizers
Cauchy-Schwarz Regularizers
Sueda Taner
Ziyi Wang
Christoph Studer
53
0
0
03 Mar 2025
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
55
330
0
15 Nov 2017
LCNN: Lookup-based Convolutional Neural Network
LCNN: Lookup-based Convolutional Neural Network
Hessam Bagherinezhad
Mohammad Rastegari
Ali Farhadi
25
90
0
20 Nov 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural
  Networks
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
Mohammad Rastegari
Vicente Ordonez
Joseph Redmon
Ali Farhadi
MQ
122
4,342
0
16 Mar 2016
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
139
14,703
0
20 Jun 2014
Speeding up Convolutional Neural Networks with Low Rank Expansions
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg
Andrea Vedaldi
Andrew Zisserman
110
1,458
0
15 May 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
83
1,682
0
02 Apr 2014
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