Jeffrey Dean - RankMe

72 papers A* 9A 7B 1C 2Misc 2Journal 36Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DataRater: Meta-Learned Dataset Curation. CoRR Dan A. Calian, Gregory Farquhar, Iurii Kemaev, Luisa M. Zintgraf, Matteo Hessel, Jeremy Shar, Junhyuk Oh, András György, Tom Schaul, Jeffrey Dean, Hado van Hasselt, David Silver
2020	—	`conf`	1.1 The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design. ISSCC Jeffrey Dean
2019	J	`jnl`	Accelerating Deep Learning by Focusing on the Biggest Losers. CoRR Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai
2019	J	`jnl`	The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design. CoRR Jeffrey Dean
2018	J	`jnl`	Microscope 2.0: An Augmented Reality Microscope with Real-time Artificial Intelligence Integration. CoRR Po-Hsuan Cameron Chen, Krishna Gadepalli, Robert MacDonald, Yun Liu, Kunal Nagpal, Timo Kohlberger, Jeffrey Dean, Gregory S. Corrado, Jason D. Hipp, Martin C. Stumpe
2018	J	`jnl`	Reply: metrics to assess machine learning models. npj Digit. Medicine Alvin Rajkomar, Andrew M. Dai, Mimi Sun, Michaela Hardt, Kai Chen, Kathryn Rough, Jeffrey Dean
2018	J	`jnl`	Scalable and accurate deep learning with electronic health records. npj Digit. Medicine Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Michaela Hardt, Peter J. Liu, Xiaobing Liu, Jake Marcus, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Yi Zhang, Gerardo Flores, Gavin E. Duggan, Jamie Irvine, Quoc Le, Kurt Litsch, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael D. Howell, Claire Cui, Gregory S. Corrado, Jeffrey Dean
2018	—	`conf`	The Case for Learned Index Structures. SIGMOD Conference Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2017	J	`jnl`	Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. Trans. Assoc. Comput. Linguistics Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean
2017	A*	`conf`	In-Datacenter Performance Analysis of a Tensor Processing Unit. ISCA Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Daniel Killebrew, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Matt Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon
2017	J	`jnl`	In-Datacenter Performance Analysis of a Tensor Processing Unit. CoRR Norman P. Jouppi, Cliff Young, Nishant Patil, David A. Patterson, Gaurav Agrawal, Raminder Bajwa, Sarah Bates, Suresh Bhatia, Nan Boden, Al Borchers, Rick Boyle, Pierre-luc Cantin, Clifford Chao, Chris Clark, Jeremy Coriell, Mike Daley, Matt Dau, Jeffrey Dean, Ben Gelb, Tara Vazir Ghaemmaghami, Rajendra Gottipati, William Gulland, Robert Hagmann, C. Richard Ho, Doug Hogberg, John Hu, Robert Hundt, Dan Hurt, Julian Ibarz, Aaron Jaffey, Alek Jaworski, Alexander Kaplan, Harshit Khaitan, Andy Koch, Naveen Kumar, Steve Lacy, James Laudon, James Law, Diemthu Le, Chris Leary, Zhuyuan Liu, Kyle Lucke, Alan Lundin, Gordon MacKean, Adriana Maggiore, Maire Mahony, Kieran Miller, Rahul Nagarajan, Ravi Narayanaswami, Ray Ni, Kathy Nix, Thomas Norrie, Mark Omernick, Narayana Penukonda, Andy Phelps, Jonathan Ross, Amir Salek, Emad Samadiani, Chris Severn, Gregory Sizikov, Matthew Snelham, Jed Souter, Dan Steinberg, Andy Swing, Mercedes Tan, Gregory Thorson, Bo Tian, Horia Toma, Erick Tuttle, Vijay Vasudevan, Richard Walter, Walter Wang, Eric Wilcox, Doe Hyun Yoon
2017	J	`jnl`	The Case for Learned Index Structures. CoRR Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis
2016	J	`jnl`	Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation. CoRR Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda B. Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean
2016	J	`jnl`	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR 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, Lukasz 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	A	`conf`	Large-Scale Deep Learning For Building Intelligent Computer Systems. WSDM Jeffrey Dean
2016	A*	`conf`	TensorFlow: A System for Large-Scale Machine Learning. OSDI 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 Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2016	J	`jnl`	TensorFlow: A system for large-scale machine learning. CoRR 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 Gordon Murray, Benoit Steiner, Paul A. Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zhang
2016	J	`jnl`	TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng
2016	J	`jnl`	The Beckman report on database research. Commun. ACM Daniel Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
2015	J	`jnl`	Distilling the Knowledge in a Neural Network. CoRR Geoffrey E. Hinton, Oriol Vinyals, Jeffrey Dean
2015	—	`conf`	The rise of cloud computing systems. SOSP History Day Jeffrey Dean
2014	J	`jnl`	The Beckman Report on Database Research. SIGMOD Rec. Daniel J. Abadi, Rakesh Agrawal, Anastasia Ailamaki, Magdalena Balazinska, Philip A. Bernstein, Michael J. Carey, Surajit Chaudhuri, Jeffrey Dean, AnHai Doan, Michael J. Franklin, Johannes Gehrke, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioannidis, H. V. Jagadish, Donald Kossmann, Samuel Madden, Sharad Mehrotra, Tova Milo, Jeffrey F. Naughton, Raghu Ramakrishnan, Volker Markl, Christopher Olston, Beng Chin Ooi, Christopher Ré, Dan Suciu, Michael Stonebraker, Todd Walter, Jennifer Widom
2014	—	`conf`	Zero-Shot Learning by Convex Combination of Semantic Embeddings. ICLR Mohammad Norouzi, Tomás Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean
2013	—	`conf`	DeViSE: A Deep Visual-Semantic Embedding Model. NIPS Andrea Frome, Gregory S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc'Aurelio Ranzato, Tomás Mikolov
2013	—	`conf`	Distributed Representations of Words and Phrases and their Compositionality. NIPS Tomás Mikolov, Ilya Sutskever, Kai Chen, Gregory S. Corrado, Jeffrey Dean
2013	J	`jnl`	Distributed Representations of Words and Phrases and their Compositionality. CoRR Tomás Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean
2013	—	`conf`	Efficient Estimation of Word Representations in Vector Space ICLR (Workshop Poster) Tomás Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean
2013	Misc	`conf`	Multilingual acoustic models using distributed deep neural networks. ICASSP Georg Heigold, Vincent Vanhoucke, Andrew W. Senior, Patrick Nguyen, Marc'Aurelio Ranzato, Matthieu Devin, Jeffrey Dean
2013	Misc	`conf`	On rectified linear units for speech processing. ICASSP Matthew D. Zeiler, Marc'Aurelio Ranzato, Rajat Monga, Mark Z. Mao, K. Yang, Quoc Viet Le, Patrick Nguyen, Andrew W. Senior, Vincent Vanhoucke, Jeffrey Dean, Geoffrey E. Hinton
2013	J	`jnl`	Spanner: Google's Globally Distributed Database. ACM Trans. Comput. Syst. James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford
2013	J	`jnl`	The tail at scale. Commun. ACM Jeffrey Dean, Luiz André Barroso
2013	J	`jnl`	Using Web Co-occurrence Statistics for Improving Image Categorization. CoRR Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc V. Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer
2012	A*	`conf`	Building high-level features using large scale unsupervised learning. ICML Quoc V. Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Jeffrey Dean, Andrew Y. Ng
2012	—	`conf`	Large Scale Distributed Deep Networks. NIPS Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc'Aurelio Ranzato, Andrew W. Senior, Paul A. Tucker, Ke Yang, Andrew Y. Ng
2012	A*	`conf`	Spanner: Google's Globally-Distributed Database. OSDI James C. Corbett, Jeffrey Dean, Michael Epstein, Andrew Fikes, Christopher Frost, J. J. Furman, Sanjay Ghemawat, Andrey Gubarev, Christopher Heiser, Peter Hochschild, Wilson C. Hsieh, Sebastian Kanthak, Eugene Kogan, Hongyi Li, Alexander Lloyd, Sergey Melnik, David Mwaura, David Nagle, Sean Quinlan, Rajesh Rao, Lindsay Rolig, Yasushi Saito, Michal Szymaniak, Christopher Taylor, Ruth Wang, Dale Woodford
2011	J	`jnl`	Building high-level features using large scale unsupervised learning CoRR Quoc V. Le, Rajat Monga, Matthieu Devin, Greg Corrado, Kai Chen, Marc'Aurelio Ranzato, Jeffrey Dean, Andrew Y. Ng
2010	—	`conf`	Evolution and future directions of large-scale storage and computation systems at Google. SoCC Jeffrey Dean
2010	J	`jnl`	MapReduce: a flexible data processing tool. Commun. ACM Jeffrey Dean, Sanjay Ghemawat
2009	A	`conf`	Back-off language model compression. INTERSPEECH Boulos Harb, Ciprian Chelba, Jeffrey Dean, Sanjay Ghemawat
2009	A	`conf`	Challenges in building large-scale information retrieval systems: invited talk. WSDM Jeffrey Dean
2008	J	`jnl`	Bigtable: A Distributed Storage System for Structured Data. ACM Trans. Comput. Syst. Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber
2008	J	`jnl`	MapReduce: simplified data processing on large clusters. Commun. ACM Jeffrey Dean, Sanjay Ghemawat
2007	—	`conf`	Large Language Models in Machine Translation. EMNLP-CoNLL Thorsten Brants, Ashok C. Popat, Peng Xu, Franz Josef Och, Jeffrey Dean
2007	—	`conf`	MapReduce and Other Building Blocks for Large-Scale Distributed Systems at Google. USENIX ATC Jeffrey Dean
2006	A*	`conf`	Bigtable: A Distributed Storage System for Structured Data (Awarded Best Paper!). OSDI Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach, Michael Burrows, Tushar Chandra, Andrew Fikes, Robert Gruber
2006	B	`conf`	Experiences with MapReduce, an abstraction for large-scale computation. PACT Jeffrey Dean
2006	—	`book`	LPI Linux certification - in a nutshell: a desktop quick reference: pass the LPIC-1 and LPIC-2 exams, 2nd Edition. Steven Pritchard, Bruno Gomes Pessanha, Nicolai Langfeldt, James Stanger, Jeffrey Dean
2004	A*	`conf`	MapReduce: Simplified Data Processing on Large Clusters. OSDI Jeffrey Dean, Sanjay Ghemawat
2003	J	`jnl`	Web Search for a Planet: The Google Cluster Architecture. IEEE Micro Luiz André Barroso, Jeffrey Dean, Urs Hölzle
2001	—	`book`	LPI Linux certification in a nutshell - a desktop quick reference: covers exams 101 102 for LPI level 1. Jeffrey Dean
2000	J	`jnl`	A Comparison of Techniques to Find Mirrored Hosts on the WWW. IEEE Data Eng. Bull. Krishna Bharat, Andrei Z. Broder, Jeffrey Dean, Monika Rauch Henzinger
2000	J	`jnl`	A comparison of techniques to find mirrored hosts on the WWW. J. Am. Soc. Inf. Sci. Krishna Bharat, Andrei Z. Broder, Jeffrey Dean, Monika Rauch Henzinger
1999	—	`conf`	A Comparison of Techniques to Find Mirrored Hosts on the WWW. WOWS Krishna Bharat, Andrei Z. Broder, Jeffrey Dean, Monika Rauch Henzinger
1999	J	`jnl`	Control of Walking in the Stick Insect: From Behavior and Physiology to Modeling. Auton. Robots Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Holk Cruse
1999	J	`jnl`	Finding Related Pages in the World Wide Web. Comput. Networks Jeffrey Dean, Monika Rauch Henzinger
1998	J	`jnl`	Walknet--a biologically inspired network to control six-legged walking. Neural Networks Holk Cruse, Thomas Kindermann, Michael Schumm, Jeffrey Dean, Josef Schmitz
1997	A	`conf`	Call Graph Construction in Object-Oriented Languages. OOPSLA David Grove, Greg DeFouw, Jeffrey Dean, Craig Chambers
1997	A*	`conf`	Continuous Profiling: Where Have All the Cycles Gone? SOSP Jennifer-Ann M. Anderson, Lance M. Berc, Jeffrey Dean, Sanjay Ghemawat, Monika Rauch Henzinger, Shun-Tak Leung, Richard L. Sites, Mark T. Vandevoorde, Carl A. Waldspurger, William E. Weihl
1997	J	`jnl`	Continuous Profiling: Where Have All the Cycles Gone? ACM Trans. Comput. Syst. Jennifer-Ann M. Anderson, Lance M. Berc, Jeffrey Dean, Sanjay Ghemawat, Monika Rauch Henzinger, Shun-Tak Leung, Richard L. Sites, Mark T. Vandevoorde, Carl A. Waldspurger, William E. Weihl
1996	C	`conf`	Simplifying Neural Networks for Controlling Walking by Exploiting Physical Properties. ICANN Holk Cruse, Christian Bartling, Jeffrey Dean, Thomas Kindermann, Josef Schmitz, Michael Schumm, Hendrik Wagner
1996	A	`conf`	Vortex: An Optimizing Compiler for Object-Oriented Languages. OOPSLA Jeffrey Dean, Greg DeFouw, David Grove, Vassily Litvinov, Craig Chambers
1995	A*	`conf`	A Framework for Selective Recompilation in the Presence of Complex Intermodule Dependencies. ICSE Craig Chambers, Jeffrey Dean, David Grove
1995	J	`jnl`	A modular artificial neural net for controlling a six-legged walking system. Biol. Cybern. Holk Cruse, Christian Bartling, Gennady S. Cymbalyuk, Jeffrey Dean, M. Dreifert
1995	A	`conf`	Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis. ECOOP Jeffrey Dean, David Grove, Craig Chambers
1995	A	`conf`	Profile-Guided Receiver Class Prediction. OOPSLA David Grove, Jeffrey Dean, Charles Garrett, Craig Chambers
1995	A*	`conf`	Selective Specialization for Object-Oriented Languages. PLDI Jeffrey Dean, Craig Chambers, David Grove
1995	J	`jnl`	Walking: A Complex Behavior Controlled by Simple Networks. Adapt. Behav. Holk Cruse, Christian Bartling, M. Dreifert, Josef Schmitz, D. E. Brunn, Jeffrey Dean, Thomas Kindermann
1994	C	`conf`	Identifying Profitable Specialization in Object-Oriented Languages. PEPM Jeffrey Dean, Craig Chambers, David Grove
1994	—	`conf`	Towards Better Inlining Decisions Using Inlining Trials. LISP and Functional Programming Jeffrey Dean, Craig Chambers
1992	J	`jnl`	A model of leg coordination in the stick insect, Biol. Cybern. Jeffrey Dean
1992	J	`jnl`	A model of leg coordination in the stick insect, Biol. Cybern. Jeffrey Dean
1992	J	`jnl`	Kinematic Model of a Stick Insect as an Example of a Six-Legged Walking System. Adapt. Behav. Uwe Müller-Wilm, Holk Cruse, Jürgen Eltze, Jeffrey Dean, Hans-Jürgen Weidemann, Friedrich Pfeiffer