Jeffrey A. Menlo Park Dean
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Jeffrey A. Menlo Park Deancomputer-science Degrees
Computer Science
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Computer Science
Jeffrey A. Menlo Park Dean's Degrees
- PhD Computer Science Stanford University
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(Suggest an Edit or Addition)Jeffrey A. Menlo Park Dean's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Distributed Representations of Words and Phrases and their Compositionality (2013) (29321)
- Efficient Estimation of Word Representations in Vector Space (2013) (25689)
- TensorFlow: A system for large-scale machine learning (2016) (14989)
- Distilling the Knowledge in a Neural Network (2015) (11818)
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) (9876)
- Bigtable: A Distributed Storage System for Structured Data (2006) (5587)
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (2016) (5457)
- In-datacenter performance analysis of a tensor processing unit (2017) (3601)
- Large Scale Distributed Deep Networks (2012) (3316)
- DeViSE: A Deep Visual-Semantic Embedding Model (2013) (2243)
- Building high-level features using large scale unsupervised learning (2011) (2207)
- Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation (2016) (1662)
- The tail at scale (2013) (1476)
- Spanner: Google's Globally-Distributed Database (2012) (1420)
- MapReduce: a flexible data processing tool (2010) (1366)
- Web Search for a Planet: The Google Cluster Architecture (2003) (1089)
- Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
- Optimization of Object-Oriented Programs Using Static Class Hierarchy Analysis (1995) (720)
- The Case for Learned Index Structures (2017) (696)
- Finding Related Pages in the World Wide Web (1999) (586)
- Large Language Models in Machine Translation (2007) (565)
- On rectified linear units for speech processing (2013) (516)
- Continuous profiling: where have all the cycles gone? (1997) (380)
- Call graph construction in object-oriented languages (1997) (342)
- Multilingual acoustic models using distributed deep neural networks (2013) (314)
- Continuous profiling: where have all the cycles gone? (1997) (306)
- ProfileMe: hardware support for instruction-level profiling on out-of-order processors (1997) (274)
- Challenges in building large-scale information retrieval systems: invited talk (2009) (216)
- Designs, Lessons and Advice from Building Large Distributed Systems (2009) (163)
- Vortex: an optimizing compiler for object-oriented languages (1996) (151)
- Keynote talk: Experiences with MapReduce, an abstraction for large-scale computation (2006) (130)
- Selective specialization for object-oriented languages (1995) (129)
- Profile-guided receiver class prediction (1995) (116)
- A Comparison of Techniques to Find Mirrored Hosts on the WWW (2000) (109)
- Towards better inlining decisions using inlining trials (1994) (90)
- Whole-program optimization of object-oriented languages (1996) (85)
- Spanner (2013) (68)
- 1.1 The Deep Learning Revolution and Its Implications for Computer Architecture and Chip Design (2019) (54)
- A Framework for Selective Recompilation in the Presence of Complex Intermodule Dependencies (1995) (45)
- ’ s Globally-Distributed Database (2012) (43)
- Pathways: Asynchronous Distributed Dataflow for ML (2022) (37)
- Frameworks for Intra- and Interprocedural Dataflow Analysis (1998) (33)
- Distributed Programming with MapReduce (2007) (30)
- Evolution and future directions of large-scale storage and computation systems at Google (2010) (28)
- Identifying Profitable Specialization in Object-Oriented Languages (1994) (27)
- Back-off language model compression (2009) (23)
- Transparent, low-overhead profiling on modern processors (1998) (22)
- The Swift Java Compiler: Design and Implementation (2002) (19)
- Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
- Large-Scale Deep Learning For Building Intelligent Computer Systems (2016) (17)
- ProJiZeMe: Hardware Support for Instruction-Level on Out-of-Order Processors (1997) (9)
- DLVM: A MODERN COMPILER FRAMEWORK FOR NEURAL NETWORK DSLS (2017) (8)
- MapReduce and Other Building Blocks for Large-Scale Distributed Systems at Google (2007) (7)
- Measurement and Application of Dynamic Receiver Class Distributions (2007) (7)
- The rise of cloud computing systems (2015) (6)
- Training Compilers to Make Better Inlining Decisions (1993) (5)
- A Golden Decade of Deep Learning: Computing Systems & Applications (2022) (4)
- MapReduce advantages over parallel databases include storage-system independence and fine-grain fault tolerance for large jobs. (2010) (3)
- LPI Linux Certification in a Nutshell (2001) (1)
- 2000 / 2 The Swift Java Compiler : Design and Implementation (2000) (0)
- 1 Identifying Profitable Specialization in Object-Oriented Languages (2013) (0)
- OPTIMISATION D'ARCHITECTURES DE RÉSEAU NEURONAL (2018) (0)
- 1 Expressive , Efficient Instance Variables (1996) (0)
- Arrangement for arbitrary sampling instructions in a processor pipeline (1998) (0)
- LPI Linux Certification in a Nutshell (In a Nutshell (O'Reilly)) (2006) (0)
- LPI Linux certification - in a nutshell: a desktop quick reference: pass the LPIC-1 and LPIC-2 exams, 2nd Edition (2006) (0)
- System and method for optimizing performance of a computer system (1998) (0)
- ABBET: an introduction (1994) (0)
- LPI Linux certification in a nutshell - a desktop quick reference: covers exams 101 102 for LPI level 1 (2001) (0)
- Arrangement for sampling a plurality of instructions in a processor pipeline (1998) (0)
- MapReduce: Simpli(cid:2)ed Data Processing on Large Clusters (0)
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