Wissam Antoun
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 2 papers; trusts 40 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 36 citations into it; #21,740 of 35,345 by trust here, #23,077 by citations
- Natural Language Processing — 32 citations into it
- Large Language Models — 15 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Wissam Antoun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov
- Taku Kudo
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Jacob Devlin
- Richard Socher
- Alex Krizhevsky
- Jeffrey Pennington
Who trusts Wissam Antoun overall
- Muhammad Abdul-Mageed
- Damian Pascual
- Phillip Rust
- Nedjma Djouhra Ousidhoum
- Hang Le
- Jonas Pfeiffer
- AbdelRahim Elmadany
- Gino Brunner
- Xinran Zhao
Papers from Wissam Antoun's perspective
Ordered by how strongly the researchers Wissam Antoun trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)