Mohamed S. Abdelfattah

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Efficiency & Compression — 10 citations into it
• Model Architectures — 7 citations into it
• Neural Architecture Search & AutoML — 7 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Mohamed S. Abdelfattah trusts overall

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

1. Alex Krizhevsky
2. Quoc V. Le
3. Mingxing Tan
4. Yann LeCun
5. Kaiming He
6. Geoffrey E. Hinton
7. Barret Zoph
8. Karen Simonyan
9. Yoshua Bengio
10. Jia Deng

Who trusts Mohamed S. Abdelfattah overall

1. J. Mellor
2. Wuyang Chen
3. Jack Turner

Papers from Mohamed S. Abdelfattah's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
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. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Zero-Cost Proxies for Lightweight NAS (2021) — 352 citations