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MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

3 December 2015
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
ArXivPDFHTML

Papers citing "MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems"

11 / 11 papers shown
Title
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning
Abdulkadir Korkmaz
Praveen Rao
FedML
74
1
0
22 Jan 2025
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
...
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
107
386
0
11 Jun 2020
A deep learning framework for solution and discovery in solid mechanics
A deep learning framework for solution and discovery in solid mechanics
E. Haghighat
M. Raissi
A. Moure
H. Gómez
R. Juanes
AI4CE
PINN
52
57
0
14 Feb 2020
Torchreid: A Library for Deep Learning Person Re-Identification in
  Pytorch
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch
Kaiyang Zhou
Tao Xiang
76
118
0
22 Oct 2019
Deep Learning in the Automotive Industry: Applications and Tools
Deep Learning in the Automotive Industry: Applications and Tools
André Luckow
M. Cook
Nathan Ashcraft
Edwin Weill
Emil Djerekarov
Bennie Vorster
66
117
0
30 Apr 2017
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
74
615
0
06 Oct 2016
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
286
43,154
0
11 Feb 2015
Purine: A bi-graph based deep learning framework
Purine: A bi-graph based deep learning framework
Min Lin
Shuo Li
Xuan Luo
Shuicheng Yan
GNN
56
8
0
19 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.0K
39,383
0
01 Sep 2014
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
181
14,703
0
20 Jun 2014
Theano: new features and speed improvements
Theano: new features and speed improvements
Frédéric Bastien
Pascal Lamblin
Razvan Pascanu
James Bergstra
Ian Goodfellow
Arnaud Bergeron
Nicolas Bouchard
David Warde-Farley
Yoshua Bengio
51
1,420
0
23 Nov 2012
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