Shawki M. Areibi

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Shawki M. Areibi trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Ronan Collobert
5. Yann LeCun
6. James Bergstra
7. Adam Coates

Who trusts Shawki M. Areibi overall

1. Shimeng Yu
2. William Grant Hatcher

Papers from Shawki M. Areibi's perspective

Ordered by how strongly the researchers Shawki M. Areibi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Et al
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Deep Learning on FPGAs: Past, Present, and Future (2016) — 183 citations