Greg Hamerly
Hardware and Architecture · 2002–2005
A researcher in the Science corpus: 5 papers; trusts 30 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Hardware and Architecture — 7 citations into it; #195 of 1,551 by trust here, #378 by citations
- Computer Networks and Communications — 5 citations into it; #1,856 of 9,886 by trust here, #2,539 by citations
Whom Greg Hamerly trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jianbo Shi
- Dan Pelleg
- Timothy Sherwood
- Michael A. Stephens
- Jitendra Malik
- Andrew W. Moore
- Yann LeCun
- Sanjoy Dasgupta
- Tian Zhang
- Erez Perelman
Who trusts Greg Hamerly overall
- Yuri Malitsky
- Mahamed G. H. Omran
- D. Steinley
- Charles Peter Elkan
- Gabriel H. Loh
- Brian Kulis
- Andrea Lodi
- Divya Tomar
- Baljinder Ghotra
- Wei Yao
Papers from Greg Hamerly's perspective
Ordered by how strongly the researchers Greg Hamerly 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- SimPoint 3.0: Faster and More Flexible Program Phase Analysis (2005) — 356 citations
- Learning the k in k-means (2003) — 1,180 citations
- Using SimPoint for accurate and efficient simulation (2003) — 361 citations
- Automatically characterizing large scale program behavior (2002) — 1,885 citations
- Alternatives to the k-means algorithm that find better clusterings (2002) — 562 citations