Aurélien F. Bibaut

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,564 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Aurélien F. Bibaut trusts overall

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

1. Alex Krizhevsky
2. Leo Breiman
3. Kaiming He
4. Yoav Freund
5. Geoffrey E. Hinton
6. Jerome H. Friedman
7. Karen Simonyan
8. Christian Szegedy
9. Sergey Ioffe
10. Ilya Sutskever

Who trusts Aurélien F. Bibaut overall

1. Yaoyao Liu
2. M. A. Ganaie

Papers from Aurélien F. Bibaut's perspective

Ordered by how strongly the researchers Aurélien F. Bibaut 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet Large Scale Visual Recognition Challenge
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification (2017) — 389 citations