Ilyes Rebai

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Ilyes Rebai trusts overall

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

1. Chih-Jen Lin
2. Nello Cristianini
3. Alexander Zien
4. Manik Varma
5. Sören Sonnenburg
6. Francis R. Bach
7. Youngmin Cho
8. David E. Rumelhart
9. John Shawe-Taylor
10. Geoffrey E. Hinton

Papers from Ilyes Rebai's perspective

Ordered by how strongly the researchers Ilyes Rebai 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep multilayer multiple kernel learning (2015) — 42 citations