Ganesh Ananthanarayanan
Computer Networks and Communications · 2010–2019
A researcher in the Science corpus: 12 papers; trusts 171 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 120 citations into it; #8,741 of 9,886 by trust here, #1,147 by citations
- Computer Vision and Pattern Recognition — 93 citations into it
- Artificial Intelligence — 76 citations into it
- Information Systems — 72 citations into it; #7,529 of 8,771 by trust here, #1,246 by citations
- Signal Processing — 25 citations into it
- Efficiency & Compression — 24 citations into it
- ML Systems & Hardware — 20 citations into it
- Hardware and Architecture — 19 citations into it
Whom Ganesh Ananthanarayanan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matei A. Zaharia
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Muthu Dayalan
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
Who trusts Ganesh Ananthanarayanan overall
- Kay Ousterhout
- Ion Stoica
- Scott Shenker
- Aaron Harlap
- Min Ye
- Can Bülent Karakus
- A. Ghodsi
- Hongzi Mao
- Yanpei Chen
- Junchen Jiang
Papers from Ganesh Ananthanarayanan's perspective
Ordered by how strongly the researchers Ganesh Ananthanarayanan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Machine Learning at the Network Edge: A Survey (2019) — 512 citations
- Chameleon: scalable adaptation of video analytics (2018) — 520 citations
- Focus: Querying Large Video Datasets with Low Latency and Low Cost (2018) — 304 citations
- Real-Time Video Analytics: The Killer App for Edge Computing (2017) — 492 citations
- Live Video Analytics at Scale with Approximation and Delay-Tolerance (2017) — 485 citations
- Hopper: Decentralized Speculation-aware Cluster Scheduling at Scale (2015) — 151 citations
- Low Latency Geo-distributed Data Analytics (2015) — 388 citations
- Multi-resource packing for cluster schedulers (2014) — 673 citations
- Effective Straggler Mitigation: Attack of the Clones (2013) — 554 citations
- PACMan: Coordinated Memory Caching for Parallel Jobs (2012) — 344 citations
- Scarlett: coping with skewed content popularity in mapreduce clusters (2011) — 331 citations
- Reining in the Outliers in Map-Reduce Clusters using Mantri (2010) — 809 citations