---
title: "Jeff Dean — all works — Elamur Research"
description: "All 46 works of Jeff Dean in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/jeff-dean/works/"
---
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# Jeff Dean — all works

46 works · [← Jeff Dean](https://md.research.elamur.ai/free/en/authors/jeff-dean/)

1. [**Efficient Estimation of Word Representations in Vector Space arXiv:1301.3781**Tomas Mikolov, Kai Chen, Greg Corrado, et al.*2013 · 28,759 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-efficient-estimation-word-representations-vector/)
2. [**Distributed Representations of Words and Phrases and their Compositionality arXiv:1310.4546**Tomas Mikolov, Ilya Sutskever, Kai Chen, et al.*2013 · 21,623 citations*](https://md.research.elamur.ai/free/en/papers/mikolov-2013-distributed-representations-words-phrases-their/)
3. [**Distilling the Knowledge in a Neural Network arXiv:1503.02531**Geoffrey Hinton, Oriol Vinyals, Jeff Dean*2015 · 15,229 citations*](https://md.research.elamur.ai/free/en/papers/hinton-2015-distilling-knowledge-neural-network/)
4. [**TensorFlow: A system for large-scale machine learning arXiv:1605.08695**Martin Abadi, Paul Barham, Jianmin Chen, et al.*2016 · 12,711 citations*](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-system-large-scale-machine/)
5. [**TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems arXiv:1603.04467**Martín Abadi, Ashish Agarwal, Paul Barham, et al.*2016 · 9,512 citations*](https://md.research.elamur.ai/free/en/papers/abadi-2016-tensorflow-large-scale-machine-learning/)
6. **[A guide to deep learning in healthcare ↗](https://doi.org/10.1038/s41591-018-0316-z) Nature Medicine · no summary yet**Andre Esteva et al.*2018 · 5,213 citations*
7. **[Scaling Instruction-Finetuned Language Models ↗](https://arxiv.org/abs/2210.11416) arXiv:2210.11416 · no summary yet**Hyung Won Chung et al.*2022 · 3,392 citations*
8. **[Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation](https://md.research.elamur.ai/free/en/papers/johnson-2017-google-s-multilingual-neural-machine/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Melvin Johnson, Mike Schuster, Quoc V. Le, et al.*2017 · 2,630 citations*
9. **[DeViSE: A Deep Visual-Semantic Embedding Model ↗](https://openalex.org/W2123024445) no summary yet**Andrea Frome et al.*2013 · 2,055 citations*
10. **[Deep learning-enabled medical computer vision ↗](https://doi.org/10.1038/s41746-020-00376-2) npj Digital Medicine · no summary yet**Andre Esteva et al.*2021 · 1,377 citations*
11. **[Gemma: Open Models Based on Gemini Research and Technology ↗](https://arxiv.org/abs/2403.08295) arXiv:2403.08295 · no summary yet**Gemma Team et al.*2024 · 1,313 citations*
12. **[Gemma 2: Improving Open Language Models at a Practical Size ↗](https://arxiv.org/abs/2408.00118) arXiv:2408.00118 · no summary yet**Gemma Team et al.*2024 · 1,302 citations*
13. **[Efficient Neural Architecture Search via Parameters Sharing ↗](https://openalex.org/W2962746461) International Conference on Machine Learning · no summary yet**Hieu Pham et al.*2018 · 1,209 citations*
14. **[Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗](https://arxiv.org/abs/1701.06538) arXiv:1701.06538 · no summary yet**Noam Shazeer et al.*2017 · 1,111 citations*
15. **[Large Language Models in Machine Translation](https://md.research.elamur.ai/free/en/papers/brants-2007-large-language-models-machine-translation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Thorsten Brants, Ashok C. Popat, Peng Xu, et al.*2007 · 709 citations*
16. **[Efficient Neural Architecture Search via Parameter Sharing ↗](https://arxiv.org/abs/1802.03268) arXiv:1802.03268 · no summary yet**Hieu Pham et al.*2018 · 699 citations*
17. **[A graph placement methodology for fast chip design ↗](https://doi.org/10.1038/s41586-021-03544-w) Nature · no summary yet**Azalia Mirhoseini et al.*2021 · 633 citations*
18. **[Efficiently Scaling Transformer Inference ↗](https://arxiv.org/abs/2211.05102) arXiv:2211.05102 · no summary yet**Reiner Pope et al.*2022 · 368 citations*
19. **[Device Placement Optimization with Reinforcement Learning ↗](https://arxiv.org/abs/1706.04972) arXiv:1706.04972 · no summary yet**Azalia Mirhoseini et al.*2017 · 343 citations*
20. [**Carbon Emissions and Large Neural Network Training arXiv:2104.10350**David Patterson, Joseph Gonzalez, Quoc Le, et al.*2021 · 323 citations*](https://md.research.elamur.ai/free/en/papers/patterson-2021-carbon-emissions-large-neural-network/)
21. **[Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2253807446) International Conference on Machine Learning · no summary yet**Marc’Aurelio Ranzato et al.*2012 · 228 citations*
22. **[ST-MoE: Designing Stable and Transferable Sparse Expert Models ↗](https://arxiv.org/abs/2202.08906) arXiv:2202.08906 · no summary yet**Barret Zoph et al.*2022 · 205 citations*
23. **[A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution ↗](https://doi.org/10.1109/mm.2018.112130030) IEEE Micro · no summary yet**Jeff Dean, David A. Patterson, Cliff Young*2018 · 174 citations*
24. **[Capabilities of Gemini Models in Medicine ↗](https://arxiv.org/abs/2404.18416) arXiv:2404.18416 · no summary yet**Khaled Saab et al.*2024 · 170 citations*
25. **[Chip Placement with Deep Reinforcement Learning ↗](https://arxiv.org/abs/2004.10746) arXiv (Cornell University) · no summary yet**Azalia Mirhoseini et al.*2020 · 154 citations*
26. **[A Hierarchical Model for Device Placement ↗](https://openalex.org/W2786414509) International Conference on Learning Representations · no summary yet**Azalia Mirhoseini et al.*2018 · 100 citations*
27. **[Pathways: Asynchronous Distributed Dataflow for ML ↗](https://arxiv.org/abs/2203.12533) arXiv (Cornell University) · no summary yet**Paul Barham et al.*2022 · 85 citations*
28. **[A Review of Sparse Expert Models in Deep Learning ↗](https://arxiv.org/abs/2209.01667) arXiv (Cornell University) · no summary yet**W. Fedus, Jeff Dean, Barret Zoph*2022 · 82 citations*
29. **[Appendix: Building high-level features using large scale unsupervised learning ↗](https://openalex.org/W2184557417) no summary yet**Quoc Viet Le et al.*2012 · 35 citations*
30. **[An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems ↗](https://arxiv.org/abs/2205.12755) arXiv (Cornell University) · no summary yet**Andréa Gesmundo, Jeff Dean*2022 · 20 citations*
31. **[Hierarchical Planning for Device Placement ↗](https://openalex.org/W2789114636) no summary yet**Azalia Mirhoseini et al.*2018 · 20 citations*
32. **[MLSys: The New Frontier of Machine Learning Systems ↗](https://arxiv.org/abs/1904.03257) arXiv (Cornell University) · no summary yet**Alexander Ratner et al.*2019 · 19 citations*
33. **[Faster Discovery of Neural Architectures by Searching for Paths in a Large Model ↗](https://openalex.org/W2787387029) International Conference on Learning Representations · no summary yet**Hieu Pham et al.*2018 · 15 citations*
34. **[Addendum: A graph placement methodology for fast chip design ↗](https://doi.org/10.1038/s41586-024-08032-5) Nature · no summary yet**Anna Goldie et al.*2024 · 13 citations*
35. **[Interlocking Backpropagation: Improving depthwise model-parallelism ↗](https://arxiv.org/abs/2010.04116) arXiv (Cornell University) · no summary yet**Aidan N. Gomez et al.*2020 · 9 citations*
36. **[Exciting Directions for ML Models and the Implications for Computing Hardware ↗](https://doi.org/10.1109/hcs59251.2023.10254704) IEEE Hot Chips Symposium · no summary yet**Jeff Dean, Amin M. Vahdat*2023 · 7 citations*
37. **[muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems ↗](https://arxiv.org/abs/2205.10937) arXiv (Cornell University) · no summary yet**Andréa Gesmundo, Jeff Dean*2022 · 7 citations*
38. **[Brainformers: Trading Simplicity for Efficiency ↗](https://arxiv.org/abs/2306.00008) arXiv (Cornell University) · no summary yet**Yanqi Zhou et al.*2023 · 6 citations*
39. **[The rise of cloud computing systems ↗](https://doi.org/10.1145/2830903.2830913) no summary yet**Jeff Dean*2015 · 5 citations*
40. **[DataRater: Meta-Learned Dataset Curation ↗](https://doi.org/10.52202/085713-0677) neural information processing systems · no summary yet**Dan A. Calian et al.*2025 · 4 citations*
41. **[Deep Learning for Solving Important Problems ↗](https://doi.org/10.1145/3308558.3313785) no summary yet**Jeff Dean*2019 · 3 citations*
42. **[Shaping AI's Impact on Billions of Lives ↗](https://arxiv.org/abs/2412.02730) arXiv (Cornell University) · no summary yet**Mariano-Florentino Cuéllar et al.*2024 · 2 citations*
43. **[Decoupled DiLoCo for Resilient Distributed Pre-training ↗](https://arxiv.org/abs/2604.21428) arXiv (Cornell University) · no summary yet**Arthur Douillard et al.*2026*
44. **[From University Research to Global Impact ↗](https://doi.org/10.1145/3760438) Communications of the ACM · no summary yet**Magdalena Bałazińska et al.*2025*
45. **[Equilibria and Learning in Modular Marketplaces ↗](https://arxiv.org/abs/2502.20346) arXiv (Cornell University) · no summary yet**Kshipra Bhawalkar et al.*2025*
46. **[Machine Learning for Medicine ↗](https://openalex.org/W2949017108) no summary yet**Alvin Rajkomar, Isaac S. Kohane, Jeff Dean*2019*