Saba A. Al-Sayouri

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #31,772 of 35,345 by trust here, #28,481 by citations
• Representation & Self-Supervised Learning — 10 citations into it
• Graph Learning — 9 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #8,861 of 10,127 by trust here, #7,402 by citations

Whom Saba A. Al-Sayouri trusts overall

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

1. Tomas Mikolov
2. Aleksandar Bojchevski
3. Lada A. Adamic
4. Bryan Perozzi
5. Daniel Zügner
6. Arjun Nitin Bhagoji
7. Stephan Günnemann

Who trusts Saba A. Al-Sayouri overall

1. Marinka Zitnik

Papers from Saba A. Al-Sayouri's perspective

Ordered by how strongly the researchers Saba A. Al-Sayouri 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. Intriguing properties of neural networks
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Efficient Estimation of Word Representations in Vector Space
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs (2020) — 399 citations