Michael Edwards

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it
• Artificial Intelligence — 7 citations into it; #25,276 of 35,345 by trust here, #29,412 by citations
• Graph Learning — 6 citations into it

Whom Michael Edwards trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David G. Lowe
2. David I. Shuman
3. Yann LeCun
4. Min-Ling Zhang
5. Leo J. Grady
6. Earnest Paul Ijjina
7. L. Eon Bottou
8. Yoshua Bengio
9. Zhi-Hua Zhou
10. Geoffrey E. Hinton

Who trusts Michael Edwards overall

1. Martin Simonovsky
2. David Raposo
3. Pengyu Wang
4. Nikos Komodakis
5. Yaoqing Yang
6. Adam Santoro
7. Y. Gan
8. Chen Feng
9. Yiru Shen

Papers from Michael Edwards's perspective

Ordered by how strongly the researchers Michael Edwards trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Graph Based Convolutional Neural Network (2016) — 52 citations