Adam K. Lerer
Adam K. Lerer has 3 papers in our library, in 2019–2024, most of them on Language models & pretraining, Reasoning, Bias, fairness & safety; often with Aleksander Mądry, OpenAI, Adam Paszke.
OpenAlex · ORCID · Wikidata · h-index 25 · 63 works · 28,815 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 7,965 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #110
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 2 worksHardware and Architecture · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSafety Research · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workBias, fairness & safety · 1 workReasoning · 1 work
Works by year
2020s
2010s
Papers
- PyTorch: An Imperative Style, High-Performance Deep Learning Library (2019 · 18,645 citations)
Older deep learning frameworks usually made a trade: static dataflow graphs gave speed and global optimization but were hard to debug and inflexible, while eager define-by-run tools were either slow or tied to less expressive languages. - GPT-4o System Card (2024 · 2,304 citations)
The GPT-4o System Card explains how OpenAI assessed and reduced the risks of GPT-4o. GPT-4o is a single end-to-end network that accepts text, audio, image and video and can produce text, audio and image output. Because the model holds real-time spoken conversations, the report focuses on hazards specific to… - OpenAI o1 System Card (2024 · 1,110 citations)
This system card describes how OpenAI evaluated the safety of its o1 reasoning models before release: o1 and o1-mini, a faster variant that is strong at coding.
All works
- PyTorch: An Imperative Style, High-Performance Deep Learning LibraryarXiv:1912.01703Adam Paszke, Sam Gross, Francisco Massa, et al.2019 · 18,645 citations
- Automatic differentiation in PyTorch ↗no summary yetAdam Paszke et al.2017 · 10,764 citations
- GPT-4o System CardarXiv:2410.21276OpenAI, Aaron Hurst, Adam Lerer, et al.2024 · 2,304 citations
- OpenAI o1 System CardarXiv:2412.16720OpenAI, Aaron Jaech, Adam Kalai, et al.2024 · 1,110 citations
- Human-level play in the game of Diplomacy by combining language models with strategic reasoning ↗Science · no summary yetAnton Bakhtin et al.2022 · 328 citations
- A MultiPath Network for Object Detection ↗British Machine Vision Conference (BMVC) · no summary yetSergey Zagoruyko et al.2016 · 240 citations
- CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetEllen D. Zhong et al.2021 · 59 citations
Co-authors here
- Aleksander Mądry ×2
- OpenAI ×2
- Adam Paszke
- Adam Perelman
- Adam Tauman Kalai
- Aditya Ramesh
- Ahmed El-Kishky
- Aidan Clark
- Aiden Low
- AJ Ostrow
- Alec Helyar
- Alec Radford
Venues
- British Machine Vision Conference (BMVC)
- IEEE/CVF International Conference on Computer Vision (ICCV)
- Science
Cited by
Updated
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