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PyTorch Distributed: Experiences on Accelerating Data Parallel Training

Jun 28, 2020
Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala

* To appear in VLDB 2020 

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PyTorch: An Imperative Style, High-Performance Deep Learning Library

Dec 03, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala

* 12 pages, 3 figures, NeurIPS 2019 

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An Analysis of Deep Neural Network Models for Practical Applications

Apr 14, 2017
Alfredo Canziani, Adam Paszke, Eugenio Culurciello

* 7 pages, 10 figures, legend for Figure 2 got lost :/ 

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ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

Jun 07, 2016
Adam Paszke, Abhishek Chaurasia, Sangpil Kim, Eugenio Culurciello

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