Edward H. Lee
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 13 citations into it; #8,610 of 21,575 by trust here, #10,677 by citations
- Artificial Intelligence — 11 citations into it; #14,059 of 35,345 by trust here, #15,866 by citations
- Efficiency & Compression — 9 citations into it
- Model Architectures — 6 citations into it; #1,121 of 2,278 by trust here, #1,433 by citations
Whom Edward H. Lee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Matthieu Courbariaux
- Kaiming He
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Jia Deng
- Yann LeCun
- X. Zhang
- Karen Simonyan
Who trusts Edward H. Lee overall
- Jeff Johnson
- Hantian Zhang
- Asit K. Mishra
- Markus Nagel
- Itay Hubara
- Shuang Wu
- Julian Faraone
- Dongqing Zhang
- Zechun Liu
- Jungwook Choi
Papers from Edward H. Lee's perspective
Ordered by how strongly the researchers Edward H. Lee 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
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Convolutional Neural Networks using Logarithmic Data Representation (2016) — 461 citations