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Proximal Mean-field for Neural Network Quantization

Proximal Mean-field for Neural Network Quantization

11 December 2018
Thalaiyasingam Ajanthan
P. Dokania
Richard I. Hartley
Philip H. S. Torr
    MQ
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Papers citing "Proximal Mean-field for Neural Network Quantization"

5 / 5 papers shown
Title
BOLD: Boolean Logic Deep Learning
BOLD: Boolean Logic Deep Learning
Van Minh Nguyen
Cristian Ocampo
Aymen Askri
Louis Leconte
Ba-Hien Tran
AI4CE
37
0
0
25 May 2024
AskewSGD : An Annealed interval-constrained Optimisation method to train
  Quantized Neural Networks
AskewSGD : An Annealed interval-constrained Optimisation method to train Quantized Neural Networks
Louis Leconte
S. Schechtman
Eric Moulines
27
4
0
07 Nov 2022
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and
  Beyond
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu
Alahari Karteek
23
12
0
27 Oct 2021
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks
Stochastic Markov Gradient Descent and Training Low-Bit Neural Networks
Jonathan Ashbrock
A. Powell
MQ
17
5
0
25 Aug 2020
Training Binary Neural Networks using the Bayesian Learning Rule
Training Binary Neural Networks using the Bayesian Learning Rule
Xiangming Meng
Roman Bachmann
Mohammad Emtiyaz Khan
BDL
MQ
22
40
0
25 Feb 2020
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