Omar Abdel Wahab
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it
- Federated & Distributed Learning — 46 citations into it
- Electrical and Electronic Engineering — 30 citations into it
- Computer Science Applications — 21 citations into it
- Efficiency & Compression — 6 citations into it
Whom Omar Abdel Wahab trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Brendan McMahan
- Takayuki Nishio
- Sebastian Caldas
- Yang Liu
- Daliang Li
- Yoshua Bengio
- Qiang Yang
- Alex Krizhevsky
- Geoffrey E. Hinton
- Jinhyun So
Papers from Omar Abdel Wahab's perspective
Ordered by how strongly the researchers Omar Abdel Wahab trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distilling the Knowledge in a Neural Network (arXiv.org)