Derek Gordon Murray
Computer Networks and Communications · 2011–2019
A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 51 citations into it
- ML Systems & Hardware — 51 citations into it; #384 of 575 by trust here, #17 by citations
- Information Systems — 38 citations into it; #8,564 of 8,771 by trust here, #16 by citations
- Hardware and Architecture — 27 citations into it; #1,035 of 1,551 by trust here, #7 by citations
Whom Derek Gordon Murray trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joseph E. Gonzalez
- Muthu Dayalan
- Matei A. Zaharia
- Tom White
- Boon Thau Loo
- Reynold Xin
- Grzegorz Malewicz
- Yucheng Low
- Russell Power
- Temple F. Smith
Who trusts Derek Gordon Murray overall
- Martín Abadi
- Yuan Yu
- Michael Isard
- Paul Barham
- Francesco Pace
- Shivaram Venkataraman
- Youjie Li
- Simon Shillaker
- Matei A. Zaharia
- Songze Li
Papers from Derek Gordon Murray's perspective
Ordered by how strongly the researchers Derek Gordon Murray trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet classification with deep convolutional neural networks
- Human-level control through deep reinforcement learning
- Pig latin: a not-so-foreign language for data processing (SIGMOD Conference)
- MapReduce: simplified data processing on large clusters
- Pregel: a system for large-scale graph processing (SIGMOD Conference)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- TensorFlow: A system for large-scale machine learning (2016) — 19,838 citations
- Dynamic control flow in large-scale machine learning (2018) — 112 citations
- Incremental, iterative data processing with timely dataflow (2016) — 51 citations
- SysML: The New Frontier of Machine Learning Systems (2019) — 23 citations
- MLSys: The New Frontier of Machine Learning Systems (2019) — 25 citations
- A computational model for TensorFlow: an introduction (2017) — 89 citations
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) — 11,798 citations
- Scalability! But at what COST? (2015) — 368 citations
- Naiad: a timely dataflow system (2013) — 874 citations
- CIEL: A Universal Execution Engine for Distributed Data-Flow Computing (2011) — 335 citations