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PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Adam Paszke, S. Gross, Soumith Chintala
- Computer ScienceNeurIPS
- 3 December 2019
TLDR
Automatic differentiation in PyTorch
- Adam Paszke, S. Gross, Adam Lerer
- Computer Science
- 28 October 2017
TLDR
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
- Adam Paszke, Abhishek Chaurasia, Sangpil Kim, E. Culurciello
- Computer ScienceArXiv
- 7 June 2016
TLDR
An Analysis of Deep Neural Network Models for Practical Applications
- A. Canziani, Adam Paszke, E. Culurciello
- Computer ScienceArXiv
- 24 May 2016
TLDR
Evaluation of neural network architectures for embedded systems
- A. Canziani, E. Culurciello, Adam Paszke
- Computer ScienceIEEE International Symposium on Circuits and…
- 28 May 2017
TLDR
PyTorch distributed
- Shen Li, Yanli Zhao, Soumith Chintala
- Computer ScienceProc. VLDB Endow.
- 28 June 2020
TLDR
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming
- Adam Paszke, Daniel D. Johnson, D. Maclaurin
- Computer ScienceProc. ACM Program. Lang.
- 12 April 2021
TLDR
Decomposing reverse-mode automatic differentiation
- Roy Frostig, Matthew J. Johnson, D. Maclaurin, Adam Paszke, Alexey Radul
- Computer ScienceArXiv
- 20 May 2021
We decompose reverse-mode automatic differentiation into (forward-mode) linearization followed by transposition. Doing so isolates the essential difference between forwardand reverse-mode AD, and…
Tensors Fitting Perfectly
- Adam Paszke, Brennan Saeta
- Computer ScienceArXiv
- 26 February 2021
TLDR
VC density of set systems defnable in tree-like graphs
- Adam Paszke, Michał Pilipczuk
- MathematicsMFCS
- 31 March 2020
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