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1912.01703
Cited By
PyTorch: An Imperative Style, High-Performance Deep Learning Library
3 December 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
N. Gimelshein
L. Antiga
Alban Desmaison
Andreas Köpf
E. Yang
Zach DeVito
Martin Raison
Alykhan Tejani
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
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Papers citing
"PyTorch: An Imperative Style, High-Performance Deep Learning Library"
7 / 657 papers shown
Title
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
112
2,338
0
09 May 2016
Fast Algorithms for Convolutional Neural Networks
Andrew Lavin
Scott Gray
36
875
0
30 Sep 2015
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
120
2,775
0
20 Feb 2015
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs
Andrew Lavin
BDL
33
47
0
27 Jan 2015
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
79
1,844
0
03 Oct 2014
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
161
14,703
0
20 Jun 2014
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
110
2,272
0
28 Jun 2011
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