Emmanuel Dufourq

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it; #24,540 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 7 citations into it; #15,234 of 21,575 by trust here, #21,103 by citations
• Optimization & Training — 5 citations into it

Whom Emmanuel Dufourq trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Yoon Kim
4. Travis Desell
5. Geoffrey E. Hinton
6. Tomas Mikolov
7. Nitish Srivastava
8. Yoshua Bengio
9. Ilya Sutskever
10. Riccardo Poli

Who trusts Emmanuel Dufourq overall

1. Andrea Soltoggio
2. Kenneth O. Stanley
3. Ashima Yadav
4. Sebastian Risi

Papers from Emmanuel Dufourq's perspective

Ordered by how strongly the researchers Emmanuel Dufourq 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• EDEN: Evolutionary deep networks for efficient machine learning (2017) — 77 citations