Zaid Al-Ars

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it; #24,836 of 35,345 by trust here, #32,362 by citations
• Privacy & Security — 24 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Federated & Distributed Learning — 18 citations into it
• Signal Processing — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Computer Science Applications — 5 citations into it

Whom Zaid Al-Ars trusts overall

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

1. Payman Mohassel
2. El Mahdi El Mhamdi
3. Kamalika Chaudhuri
4. Geoffrey E. Hinton
5. Cynthia Dwork
6. Alex Krizhevsky
7. Yann LeCun
8. H. Brendan McMahan
9. Joppe W. Bos
10. Yoshua Bengio

Who trusts Zaid Al-Ars overall

1. Haftay Gebreslasie Abreha

Papers from Zaid Al-Ars's perspective

Ordered by how strongly the researchers Zaid Al-Ars 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. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Dropout: a simple way to prevent neural networks from overfitting
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies (2020) — 60 citations