Ibrahim Abdelaziz

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it
• Natural Language Processing — 41 citations into it
• Computational Theory and Mathematics — 13 citations into it
• Graph Learning — 9 citations into it

Whom Ibrahim Abdelaziz trusts overall

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

1. Diederik P. Kingma
2. Christian Szegedy
3. Geoffrey Irving
4. Sarah M. Loos
5. Jimmy Ba
6. Justin Gilmer
7. Geoffrey E. Hinton
8. Kshitij Bansal
9. Yoshua Bengio
10. Sergey Ioffe

Who trusts Ibrahim Abdelaziz overall

1. Swarnadeep Saha
2. Sayan Ghosh

Papers from Ibrahim Abdelaziz's perspective

Ordered by how strongly the researchers Ibrahim Abdelaziz trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling (2019) — 40 citations
• Improving Natural Language Inference Using External Knowledge in the Science Questions Domain (2018) — 177 citations
• An Experimental Study of Formula Embeddings for Automated Theorem Proving in First-Order Logic (2020) — 6 citations