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2020 – today
- 2024
[j4]Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke:
Parallel Algebraic Effect Handlers. Proc. ACM Program. Lang. 8(ICFP): 756-788 (2024)- [i15]Sami Alabed, Bart Chrzaszcz, Juliana Franco, Dominik Grewe, Dougal Maclaurin, James Molloy, Tom Natan, Tamara Norman, Xiaoyue Pan, Adam Paszke, Norman A. Rink, Michael Schaarschmidt, Timur Sitdikov, Agnieszka Swietlik, Dimitrios Vytiniotis, Joel Wee:
PartIR: Composing SPMD Partitioning Strategies for Machine Learning. CoRR abs/2401.11202 (2024) - [i14]Aleksandar Botev, Soham De, Samuel L. Smith, Anushan Fernando, George-Cristian Muraru, Ruba Haroun, Leonard Berrada, Razvan Pascanu, Pier Giuseppe Sessa, Robert Dadashi, Léonard Hussenot, Johan Ferret, Sertan Girgin, Olivier Bachem, Alek Andreev, Kathleen Kenealy, Thomas Mesnard, Cassidy Hardin, Surya Bhupatiraju, Shreya Pathak, Laurent Sifre, Morgane Rivière, Mihir Sanjay Kale, Juliette Love, Pouya Tafti, Armand Joulin, Noah Fiedel, Evan Senter, Yutian Chen, Srivatsan Srinivasan, Guillaume Desjardins, David Budden, Arnaud Doucet, Sharad Vikram, Adam Paszke, Trevor Gale, Sebastian Borgeaud, Charlie Chen, Andy Brock, Antonia Paterson, Jenny Brennan, Meg Risdal, Raj Gundluru, Nesh Devanathan, Paul Mooney, Nilay Chauhan, Phil Culliton, Luiz GUStavo Martins, Elisa Bandy, David Huntsperger, Glenn Cameron, Arthur Zucker, Tris Warkentin, Ludovic Peran, Minh Giang, Zoubin Ghahramani, Clément Farabet, Koray Kavukcuoglu, Demis Hassabis, Raia Hadsell, Yee Whye Teh, Nando de Frietas:
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models. CoRR abs/2404.07839 (2024) - 2023
- [j3]Alexey Radul
, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin:
You Only Linearize Once: Tangents Transpose to Gradients. Proc. ACM Program. Lang. 7(POPL): 1246-1274 (2023) - [c6]Adam Paszke, Ningning Xie:
Infix-Extensible Record Types for Tabular Data. TyDe@ICFP 2023: 29-43 - 2022
- [c5]Dougal Maclaurin, Alexey Radul, Adam Paszke:
The Foil: Capture-Avoiding Substitution With No Sharp Edges. IFL 2022: 8:1-8:10 - [i13]Alexey Radul, Adam Paszke, Roy Frostig, Matthew J. Johnson, Dougal Maclaurin:
You Only Linearize Once: Tangents Transpose to Gradients. CoRR abs/2204.10923 (2022) - [i12]Dougal Maclaurin, Alexey Radul, Adam Paszke:
The Foil: Capture-Avoiding Substitution With No Sharp Edges. CoRR abs/2210.04729 (2022) - 2021
- [j2]Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin:
Getting to the point: index sets and parallelism-preserving autodiff for pointful array programming. Proc. ACM Program. Lang. 5(ICFP): 1-29 (2021) - [c4]Adam Paszke, Matthew J. Johnson, Roy Frostig, Dougal Maclaurin:
Parallelism-preserving automatic differentiation for second-order array languages. FHPNC@ICFP 2021: 13-23 - [i11]Adam Paszke, Brennan Saeta:
Tensors Fitting Perfectly. CoRR abs/2102.13254 (2021) - [i10]Adam Paszke, Daniel D. Johnson, David Duvenaud, Dimitrios Vytiniotis, Alexey Radul, Matthew J. Johnson, Jonathan Ragan-Kelley, Dougal Maclaurin:
Getting to the Point. Index Sets and Parallelism-Preserving Autodiff for Pointful Array Programming. CoRR abs/2104.05372 (2021) - [i9]Roy Frostig, Matthew J. Johnson, Dougal Maclaurin, Adam Paszke, Alexey Radul:
Decomposing reverse-mode automatic differentiation. CoRR abs/2105.09469 (2021) - [i8]Ningning Xie, Daniel D. Johnson, Dougal Maclaurin, Adam Paszke:
Parallel Algebraic Effect Handlers. CoRR abs/2110.07493 (2021) - [i7]Norman A. Rink, Adam Paszke, Dimitrios Vytiniotis, Georg Stefan Schmid:
Memory-efficient array redistribution through portable collective communication. CoRR abs/2112.01075 (2021) - [i6]Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov:
Automap: Towards Ergonomic Automated Parallelism for ML Models. CoRR abs/2112.02958 (2021) - 2020
- [j1]Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala:
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. Proc. VLDB Endow. 13(12): 3005-3018 (2020) - [c3]Adam Paszke, Michal Pilipczuk:
VC Density of Set Systems Definable in Tree-Like Graphs. MFCS 2020: 78:1-78:13 - [i5]Adam Paszke, Michal Pilipczuk:
VC density of set systems defnable in tree-like graphs. CoRR abs/2003.14177 (2020) - [i4]Shen Li, Yanli Zhao, Rohan Varma, Omkar Salpekar, Pieter Noordhuis, Teng Li, Adam Paszke, Jeff Smith, Brian Vaughan, Pritam Damania, Soumith Chintala:
PyTorch Distributed: Experiences on Accelerating Data Parallel Training. CoRR abs/2006.15704 (2020)
2010 – 2019
- 2019
- [c2]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 Z. Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. NeurIPS 2019: 8024-8035 - [i3]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 Z. Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, Soumith Chintala:
PyTorch: An Imperative Style, High-Performance Deep Learning Library. CoRR abs/1912.01703 (2019) - 2017
- [c1]Alfredo Canziani, Eugenio Culurciello, Adam Paszke:
Evaluation of neural network architectures for embedded systems. ISCAS 2017: 1-4 - 2016
- [i2]Alfredo Canziani, Adam Paszke, Eugenio Culurciello:
An Analysis of Deep Neural Network Models for Practical Applications. CoRR abs/1605.07678 (2016) - [i1]Adam Paszke, Abhishek Chaurasia, Sangpil Kim, Eugenio Culurciello:
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation. CoRR abs/1606.02147 (2016)
Coauthor Index
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last updated on 2024-11-22 20:42 CET by the dblp team
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