Hamza Harkous

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #18,548 of 35,345 by trust here, #25,809 by citations
• Natural Language Processing — 37 citations into it; #3,201 of 5,688 by trust here, #4,793 by citations
• Evaluation & Benchmarks — 14 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it; #11,687 of 21,575 by trust here, #17,258 by citations
• Information Systems — 7 citations into it
• Natural Language Generation — 6 citations into it

Whom Hamza Harkous trusts overall

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

1. Chin-Yew Lin
2. Geoffrey E. Hinton
3. Jimmy Ba
4. Jekaterina Novikova
5. Claire Gardent
6. Yoshua Bengio
7. Ehud Reiter
8. Ondrej Dusek
9. Ilya Sutskever
10. Diederik P. Kingma

Who trusts Hamza Harkous overall

1. Jordan Clive
2. Ondrej Dusek
3. Kris Cao
4. Leonardo F. R. Ribeiro
5. Peyman Heidari
6. Soumya Batra
7. Junyi Li
8. Chang Shu
9. Marek Rei
10. Zdeněk Kasner

Papers from Hamza Harkous's perspective

Ordered by how strongly the researchers Hamza Harkous 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity (2020) — 93 citations
• Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep Learning (2018) — 412 citations