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Efficient and Robust Mixed-Integer Optimization Methods for Training
  Binarized Deep Neural Networks

Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks

21 October 2021
Jannis Kurtz
B. Bah
    MQ
ArXivPDFHTML

Papers citing "Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks"

3 / 3 papers shown
Title
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate
  Convolutional Neural Network Architecture From Truth Tables
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables
Adrien Benamira
Tristan Guérand
Thomas Peyrin
Trevor Yap
Bryan Hooi
32
1
0
18 Aug 2022
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
258
3,109
0
04 Nov 2016
Piecewise convexity of artificial neural networks
Piecewise convexity of artificial neural networks
Blaine Rister
Daniel L Rubin
AAML
ODL
26
31
0
17 Jul 2016
1