Yassine Yaakoubi

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it
• Optimization & Training — 10 citations into it
• Model Architectures — 8 citations into it
• Industrial and Manufacturing Engineering — 6 citations into it
• Natural Language Processing — 6 citations into it
• Graph Learning — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Yassine Yaakoubi trusts overall

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

1. Julien Mairal
2. Shai Shalev-Shwartz
3. François Soumis
4. Simon Lacoste-Julien
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Alex Krizhevsky
8. Yann LeCun
9. Tong Zhang
10. Diederik P. Kingma

Papers from Yassine Yaakoubi's perspective

Ordered by how strongly the researchers Yassine Yaakoubi 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Structured Convolutional Kernel Networks for Airline Crew Scheduling (2021) — 10 citations