🧑‍🔬 Jeff Dean — all works

46 works · ← Jeff Dean

1. Efficient Estimation of Word Representations in Vector SpacearXiv:1301.3781Tomas Mikolov, Kai Chen, Greg Corrado, et al.2013 · 28,759 citations
2. Distributed Representations of Words and Phrases and their CompositionalityarXiv:1310.4546Tomas Mikolov, Ilya Sutskever, Kai Chen, et al.2013 · 21,623 citations
3. Distilling the Knowledge in a Neural NetworkarXiv:1503.02531Geoffrey Hinton, Oriol Vinyals, Jeff Dean2015 · 15,229 citations
4. TensorFlow: A system for large-scale machine learningarXiv:1605.08695Martin Abadi, Paul Barham, Jianmin Chen, et al.2016 · 12,711 citations
5. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsarXiv:1603.04467Martín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,512 citations
6. A guide to deep learning in healthcare ↗Nature Medicine · no summary yetAndre Esteva et al.2018 · 5,213 citations
7. Scaling Instruction-Finetuned Language Models ↗arXiv:2210.11416 · no summary yetHyung Won Chung et al.2022 · 3,392 citations
8. Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot TranslationTransactions of the Association for Computational Linguistics (TACL)Melvin Johnson, Mike Schuster, Quoc V. Le, et al.2017 · 2,630 citations
9. DeViSE: A Deep Visual-Semantic Embedding Model ↗no summary yetAndrea Frome et al.2013 · 2,055 citations
10. Deep learning-enabled medical computer vision ↗npj Digital Medicine · no summary yetAndre Esteva et al.2021 · 1,377 citations
11. Gemma: Open Models Based on Gemini Research and Technology ↗arXiv:2403.08295 · no summary yetGemma Team et al.2024 · 1,313 citations
12. Gemma 2: Improving Open Language Models at a Practical Size ↗arXiv:2408.00118 · no summary yetGemma Team et al.2024 · 1,302 citations
13. Efficient Neural Architecture Search via Parameters Sharing ↗International Conference on Machine Learning · no summary yetHieu Pham et al.2018 · 1,209 citations
14. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer ↗arXiv:1701.06538 · no summary yetNoam Shazeer et al.2017 · 1,111 citations
15. Large Language Models in Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Thorsten Brants, Ashok C. Popat, Peng Xu, et al.2007 · 709 citations
16. Efficient Neural Architecture Search via Parameter Sharing ↗arXiv:1802.03268 · no summary yetHieu Pham et al.2018 · 699 citations
17. A graph placement methodology for fast chip design ↗Nature · no summary yetAzalia Mirhoseini et al.2021 · 633 citations
18. Efficiently Scaling Transformer Inference ↗arXiv:2211.05102 · no summary yetReiner Pope et al.2022 · 368 citations
19. Device Placement Optimization with Reinforcement Learning ↗arXiv:1706.04972 · no summary yetAzalia Mirhoseini et al.2017 · 343 citations
20. Carbon Emissions and Large Neural Network TrainingarXiv:2104.10350David Patterson, Joseph Gonzalez, Quoc Le, et al.2021 · 323 citations
21. Building high-level features using large scale unsupervised learning ↗International Conference on Machine Learning · no summary yetMarc’Aurelio Ranzato et al.2012 · 228 citations
22. ST-MoE: Designing Stable and Transferable Sparse Expert Models ↗arXiv:2202.08906 · no summary yetBarret Zoph et al.2022 · 205 citations
23. A New Golden Age in Computer Architecture: Empowering the Machine-Learning Revolution ↗IEEE Micro · no summary yetJeff Dean, David A. Patterson, Cliff Young2018 · 174 citations
24. Capabilities of Gemini Models in Medicine ↗arXiv:2404.18416 · no summary yetKhaled Saab et al.2024 · 170 citations
25. Chip Placement with Deep Reinforcement Learning ↗arXiv (Cornell University) · no summary yetAzalia Mirhoseini et al.2020 · 154 citations
26. A Hierarchical Model for Device Placement ↗International Conference on Learning Representations · no summary yetAzalia Mirhoseini et al.2018 · 100 citations
27. Pathways: Asynchronous Distributed Dataflow for ML ↗arXiv (Cornell University) · no summary yetPaul Barham et al.2022 · 85 citations
28. A Review of Sparse Expert Models in Deep Learning ↗arXiv (Cornell University) · no summary yetW. Fedus, Jeff Dean, Barret Zoph2022 · 82 citations
29. Appendix: Building high-level features using large scale unsupervised learning ↗no summary yetQuoc Viet Le et al.2012 · 35 citations
30. An Evolutionary Approach to Dynamic Introduction of Tasks in Large-scale Multitask Learning Systems ↗arXiv (Cornell University) · no summary yetAndréa Gesmundo, Jeff Dean2022 · 20 citations
31. Hierarchical Planning for Device Placement ↗no summary yetAzalia Mirhoseini et al.2018 · 20 citations
32. MLSys: The New Frontier of Machine Learning Systems ↗arXiv (Cornell University) · no summary yetAlexander Ratner et al.2019 · 19 citations
33. Faster Discovery of Neural Architectures by Searching for Paths in a Large Model ↗International Conference on Learning Representations · no summary yetHieu Pham et al.2018 · 15 citations
34. Addendum: A graph placement methodology for fast chip design ↗Nature · no summary yetAnna Goldie et al.2024 · 13 citations
35. Interlocking Backpropagation: Improving depthwise model-parallelism ↗arXiv (Cornell University) · no summary yetAidan N. Gomez et al.2020 · 9 citations
36. Exciting Directions for ML Models and the Implications for Computing Hardware ↗IEEE Hot Chips Symposium · no summary yetJeff Dean, Amin M. Vahdat2023 · 7 citations
37. muNet: Evolving Pretrained Deep Neural Networks into Scalable Auto-tuning Multitask Systems ↗arXiv (Cornell University) · no summary yetAndréa Gesmundo, Jeff Dean2022 · 7 citations
38. Brainformers: Trading Simplicity for Efficiency ↗arXiv (Cornell University) · no summary yetYanqi Zhou et al.2023 · 6 citations
39. The rise of cloud computing systems ↗no summary yetJeff Dean2015 · 5 citations
40. DataRater: Meta-Learned Dataset Curation ↗neural information processing systems · no summary yetDan A. Calian et al.2025 · 4 citations
41. Deep Learning for Solving Important Problems ↗no summary yetJeff Dean2019 · 3 citations
42. Shaping AI's Impact on Billions of Lives ↗arXiv (Cornell University) · no summary yetMariano-Florentino Cuéllar et al.2024 · 2 citations
43. Decoupled DiLoCo for Resilient Distributed Pre-training ↗arXiv (Cornell University) · no summary yetArthur Douillard et al.2026
44. From University Research to Global Impact ↗Communications of the ACM · no summary yetMagdalena Bałazińska et al.2025
45. Equilibria and Learning in Modular Marketplaces ↗arXiv (Cornell University) · no summary yetKshipra Bhawalkar et al.2025
46. Machine Learning for Medicine ↗no summary yetAlvin Rajkomar, Isaac S. Kohane, Jeff Dean2019

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