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Training Deep Neural Networks via Branch-and-Bound

Training Deep Neural Networks via Branch-and-Bound

5 April 2021
Yuanwei Wu
Ziming Zhang
Guanghui Wang
    ODL
ArXivPDFHTML

Papers citing "Training Deep Neural Networks via Branch-and-Bound"

5 / 5 papers shown
Title
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
54
69
0
19 Jan 2021
Global optimality conditions for deep neural networks
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
128
118
0
08 Jul 2017
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,896
0
15 Sep 2016
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
186
2,946
0
15 Dec 2014
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
186
1,186
0
30 Nov 2014
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