El-Mahdi El-Mhamdi

Artificial Intelligence · 2 papers · 2019

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Optimization & Training — 15 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Federated & Distributed Learning — 7 citations into it
• Computer Networks and Communications — 6 citations into it

Whom El-Mahdi El-Mhamdi trusts overall

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

1. El Mahdi El Mhamdi
2. Rachid Guerraoui
3. Georgios Damaskinos
4. L. Eon Bottou
5. Cong Xie
6. Peva Blanchard
7. Simon S. Haykin
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Oluwasanmi Koyejo

Who trusts El-Mahdi El-Mhamdi overall

1. Shashank Rajput
2. Hongyi Wang
3. Tao Yu
4. Luis Muñoz-González

Papers from El-Mahdi El-Mhamdi's perspective

Ordered by how strongly the researchers El-Mahdi El-Mhamdi 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. Long Short-Term Memory
6. Dropout: a simple way to prevent neural networks from overfitting
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Large Scale Distributed Deep Networks

Their papers

• Fast and Secure Distributed Learning in High Dimension (2019) — 16 citations
• AGGREGATHOR: Byzantine Machine Learning via Robust Gradient Aggregation (2019) — 96 citations