Michael A. Alcorn

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 36 citations into it
• Artificial Intelligence — 24 citations into it

Whom Michael A. Alcorn trusts overall

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

1. Alex Krizhevsky
2. Christian Szegedy
3. Kaiming He
4. Geoffrey E. Hinton
5. Yann LeCun
6. Ilya Sutskever
7. Ian J. Goodfellow
8. Peter Shirley
9. Yoshua Bengio
10. Diederik P. Kingma

Who trusts Michael A. Alcorn overall

1. Theodora Kontogianni
2. Ronan Le Bras
3. Alec Radford
4. Gary F. Marcus
5. Robert Geirhos

Papers from Michael A. Alcorn's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects (2018) — 329 citations