Azzam Mourad
Artificial Intelligence · 2021
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 153 citations into it
- Federated & Distributed Learning — 83 citations into it
- Electrical and Electronic Engineering — 42 citations into it
- Computer Science Applications — 31 citations into it
- Privacy & Security — 24 citations into it
- Optimization & Training — 14 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Efficiency & Compression — 12 citations into it
Whom Azzam Mourad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Brendan McMahan
- Alex Krizhevsky
- Yoshua Bengio
- Yann LeCun
- Sebastian Caldas
- Geoffrey E. Hinton
- Jakub Konecný
- Yang Liu
- Takayuki Nishio
- Qiang Yang
Papers from Azzam Mourad's perspective
Ordered by how strongly the researchers Azzam Mourad trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)