Zabir Al Nazi

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Large Language Models — 21 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Natural Language Processing — 8 citations into it

Whom Zabir Al Nazi trusts overall

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

1. Jacob Devlin
2. Geoffrey E. Hinton
3. Ashish Vaswani
4. Alec Radford
5. Kexin Huang
6. Yoshua Bengio
7. Diederik P. Kingma
8. Alex Krizhevsky
9. Junnan Li
10. Andreas Mayr

Papers from Zabir Al Nazi's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large language models in healthcare and medical domain: A review (2023) — 474 citations