D. Andersen
Computer Networks and Communications · Symposium on Operating Systems Principles · 2001–2019
A researcher in the Science corpus: 24 papers; trusts 310 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 129 citations into it; #4,765 of 9,886 by trust here, #515 by citations
- Artificial Intelligence — 79 citations into it; #31,010 of 35,345 by trust here, #22,463 by citations
- Information Systems — 56 citations into it; #5,676 of 8,771 by trust here, #4,518 by citations
- Computer Vision and Pattern Recognition — 48 citations into it; #19,036 of 21,575 by trust here, #19,310 by citations
- Hardware and Architecture — 38 citations into it; #1,016 of 1,551 by trust here, #828 by citations
- Optimization & Training — 37 citations into it; #1,306 of 2,601 by trust here, #418 by citations
- ML Systems & Hardware — 28 citations into it; #79 of 575 by trust here, #156 by citations
- Computational Mechanics — 11 citations into it
Whom D. Andersen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Alex Smola
- Muthu Dayalan
- Karen Simonyan
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
Who trusts D. Andersen overall
- Cong Xie
- Oluwasanmi Koyejo
- Mu Li
- Indranil Gupta
- Mosharaf Chowdhury
- Anuj Kalia
- El Mahdi El Mhamdi
- Xiangru Lian
- Michael Kaminsky
- Mohammad Rostami
Papers from D. Andersen's perspective
Ordered by how strongly the researchers D. Andersen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Resilient overlay networks (2001) — 2,298 citations
- c-Through: part-time optics in data centers (2010) — 808 citations
- Accountable internet protocol (aip) (2008) — 371 citations
- SysML: The New Frontier of Machine Learning Systems (2019) — 23 citations
- MLSys: The New Frontier of Machine Learning Systems (2019) — 25 citations
- Datacenter RPCs can be General and Fast (2018) — 383 citations
- 3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning (2018) — 82 citations
- EDF: Ensemble, Distill, and Fuse for Easy Video Labeling (2018) — 8 citations
- Design Guidelines for High Performance RDMA Systems (2016) — 485 citations
- Communication Efficient Distributed Machine Learning with the Parameter Server (2014) — 704 citations
- Using RDMA efficiently for key-value services (2014) — 578 citations
- Cuckoo Filter: Practically Better Than Bloom (2014) — 811 citations
- Scaling Distributed Machine Learning with the Parameter Server (2014) — 1,926 citations
- Parameter Server for Distributed Machine Learning (2013)
- Stronger Semantics for Low-Latency Geo-Replicated Storage (2013) — 306 citations
- MemC3: Compact and Concurrent MemCache with Dumber Caching and Smarter Hashing (2013) — 425 citations
- There is more consensus in Egalitarian parliaments (2013) — 446 citations
- SILT: a memory-efficient, high-performance key-value store (2011) — 343 citations
- Don't settle for eventual: scalable causal consistency for wide-area storage with COPS (2011) — 701 citations
- Safe and effective fine-grained TCP retransmissions for datacenter communication (2009) — 499 citations