Jeffrey Dean
Jump to navigation
Jump to search
Jeffrey Dean is a person.
- See: MapReduce, TensorFlow.
References
2022
- (Chowdhery et al., 2022) ⇒ Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel . (2022). “PaLM: Scaling Language Modeling with Pathways.” In: arXiv preprint arXiv:2204.02311.
- (Wei, Tay et al., 2022) ⇒ Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, Ed H. Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.. (2022). “Emergent Abilities of Large Language Models.” In: Transactions on Machine Learning Research, 08/2022 (TMLR).
2017
- (Johnson et al., 2017) ⇒ Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, and Jeffrey Dean. (2017). “Google’s Multilingual Neural Machine Translation System: Enabling Zero-shot Translation.” In: Transactions of the Association for Computational Linguistics, 5.
2016
- (Abadi et al., 2016b) ⇒ Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. (2016). “TensorFlow: A System for Large-scale Machine Learning.” In: Proceedings of the 12th USENIX conference on Operating Systems Design and Implementation. ISBN:978-1-931971-33-1
- (Abadi et. al., 2016a) ⇒ Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mane, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viegas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng. (2016). “TensorFlow - Large-Scale Machine Learning on Heterogeneous Distributed Systems.” In: arXiv 1603.04467 Journal.
- (Wu et al., 2016) ⇒ Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean. (2016). “Google's Neural Machine Translation System: Bridging the Gap Between Human and Machine Translation.” arXiv preprint arXiv:1609.08144
2015
- (Hinton, Vinyals and Dean, 2015) ⇒ Geoffrey E. Hinton, Oriol Vinyals, and Jeff Dean. (2015). "Distilling the Knowledge in a Neural Network." In: NIPS Deep Learning and Representation Learning Workshop (2015).
2013
- (Mikolov et al., 2013a) ⇒ Tomáš Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. (2013). “Efficient Estimation of Word Representations in Vector Space.” In: Proceedings of ICLR 2013.
- (Mikolov et al., 2013c) ⇒ Tomáš Mikolov, Ilya Sutskever, Kai Chen, Greg S. Corrado, and Jeffrey Dean. (2013). “Distributed Representations of Words and Phrases and their Compositionality.” In: Advances in Neural Information Processing Systems, pp. 3111-3119.
2010
- (Dean & Ghemawat, 2010) ⇒ Jeffrey Dean, and Sanjay Ghemawat. (2010). “MapReduce: A Flexible Data Processing Tool.” In: Communications of the ACM Journal, 53(1). doi:10.1145/1629175.1629198
2008
- (Chang et al., 2008) ⇒ Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Mike Burrows, Tushar Chandra, Andrew Fikes, and Robert E. Gruber. (2008). “Bigtable: A Distributed Storage System for Structured Data.” ACM Transactions on Computer Systems (TOCS) 26, no. 2
- (Dean & Ghemawat, 2008) ⇒ Jeffrey Dean, and Sanjay Ghemawat. (2008). “MapReduce: Simplified Data Processing on Large Clusters.” Communications of the ACM 51, no. 1
2004
- (Dean & Ghemawat, 2004a) ⇒ Jeffrey Dean, and Sanjay Ghemawat. (2004). “System and method for efficient large-scale data processing." US Patent 7,650,331
- (Dean & Ghemawat, 2004b) ⇒ Jeffrey Dean, and Sanjay Ghemawat. (2004). “MapReduce: Simplified Data Processing on Large Clusters.” In: Proceedings of the 6th Conference on Symposium on Operating Systems Design & Implementation (OSDI 2004).