Moussa Kamal Eddine

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it
• Natural Language Processing — 69 citations into it
• Evaluation & Benchmarks — 43 citations into it

Whom Moussa Kamal Eddine trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Tomas Mikolov
4. Jörg Tiedemann
5. Yinhan Liu
6. Yoshua Bengio
7. Jimmy Ba
8. Ilya Sutskever
9. Jacob Devlin
10. Alex Krizhevsky

Papers from Moussa Kamal Eddine's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• GEMv2: Multilingual NLG Benchmarking in a Single Line of Code (2022) — 43 citations
• FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation (2021) — 38 citations