Hazem M. Hajj

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 164 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it; #21,739 of 35,345 by trust here, #23,077 by citations
• Computer Vision and Pattern Recognition — 47 citations into it
• Natural Language Processing — 47 citations into it
• Model Architectures — 13 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Large Language Models — 9 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Hazem M. Hajj trusts overall

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

1. Yoshua Bengio
2. Ilya Sutskever
3. Geoffrey E. Hinton
4. Tomas Mikolov
5. Diederik P. Kingma
6. Alex Krizhevsky
7. Sepp Hochreiter
8. Yann LeCun
9. Oriol Vinyals
10. Kaiming He

Who trusts Hazem M. Hajj overall

1. Muhammad Abdul-Mageed

Papers from Hazem M. Hajj's perspective

Ordered by how strongly the researchers Hazem M. Hajj 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. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• AraBERT: Transformer-based Model for Arabic Language Understanding (2020) — 1,444 citations
• Resources and End-to-End Neural Network Models for Arabic Image Captioning (2020) — 41 citations
• Neural Arabic Question Answering (2019) — 172 citations