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Automatic differentiation in PyTorch

Research article (2017) · cited 11,115× · AI/ML
CreativeWork academia

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scholarly article[2]

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Authored by 8
Adam Lerer, Adam Paszke, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Luca Antiga, Zachary DeVito, Zeming Lin
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Adam Lerer, Adam Paszke, Alban Desmaison, Edward Z. Yang, Gregory Chanan, Luca Antiga, Zachary DeVito, Zeming Lin
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Summary

Automatic differentiation in PyTorch is a scholarly article[1].

Related Entities

Luca Antiga

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Automatic differentiation in PyTorch. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-differentiation-in-pytorch
MLA “Automatic differentiation in PyTorch.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-differentiation-in-pytorch.
BibTeX @misc{4ortxyz_automatic-differentiation-in-pytorch_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic differentiation in PyTorch}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-differentiation-in-pytorch}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic differentiation in PyTorch — https://4ort.xyz/entity/automatic-differentiation-in-pytorch (retrieved 2026-05-24)

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