Youssef Oualil

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #23,893 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 9 citations into it
• Large Language Models — 7 citations into it; #466 of 799 by trust here, #791 by citations

Whom Youssef Oualil trusts overall

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

1. Yoshua Bengio
2. Tomas Mikolov
3. Blockin Blockin
4. Karen Simonyan
5. Andriy Mnih
6. Geoffrey E. Hinton
7. Michael U Gutmann
8. Frederic Morin
9. Andrew Zisserman
10. Aapo Hyvärinen

Who trusts Youssef Oualil overall

1. Zhijian Ou

Papers from Youssef Oualil's perspective

Ordered by how strongly the researchers Youssef Oualil 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Batch Noise Contrastive Estimation Approach for Training Large Vocabulary Language Models (2017) — 6 citations