Adam Paszke
Adam Paszke
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Verified email at students.mimuw.edu.pl - Homepage
Title
Cited by
Cited by
Year
Pytorch: An imperative style, high-performance deep learning library
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in neural information processing systems 32, 8026-8037, 2019
15539*2019
ENet: A deep neural network architecture for real-time semantic segmentation
A Paszke, A Chaurasia, S Kim, E Culurciello
arXiv preprint arXiv:1606.02147, 2016
11792016
An analysis of deep neural network models for practical applications
A Canziani, A Paszke, E Culurciello
arXiv preprint arXiv:1605.07678, 2016
8732016
Advances in Neural Information Processing Systems 32
A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Curran Associates, Inc, 8024-8035, 2019
2062019
PyTorch
A Paszke, S Gross, S Chintala, G Chanan
Computer software. Vers. 0.3 1, 2016
722016
Pytorch distributed: Experiences on accelerating data parallel training
S Li, Y Zhao, R Varma, O Salpekar, P Noordhuis, T Li, A Paszke, J Smith, ...
arXiv preprint arXiv:2006.15704, 2020
472020
Evaluation of neural network architectures for embedded systems
A Canziani, E Culurciello, A Paszke
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
272017
Decomposing reverse-mode automatic differentiation
R Frostig, MJ Johnson, D Maclaurin, A Paszke, A Radul
arXiv preprint arXiv:2105.09469, 2021
22021
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming
A Paszke, D Johnson, D Duvenaud, D Vytiniotis, A Radul, M Johnson, ...
arXiv preprint arXiv:2104.05372, 2021
2021
Tensors Fitting Perfectly
A Paszke, B Saeta
arXiv preprint arXiv:2102.13254, 2021
2021
VC density of set systems defnable in tree-like graphs
A Paszke, M Pilipczuk
arXiv preprint arXiv:2003.14177, 2020
2020
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Articles 1–11