Matthieu Felix

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #12,787 of 35,345 by trust here, #10,798 by citations
• Natural Language Processing — 19 citations into it; #2,495 of 5,688 by trust here, #2,364 by citations
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Matthieu Felix trusts overall

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

1. Diederik P. Kingma
2. Tomas Mikolov
3. Yoshua Bengio
4. Dzmitry Bahdanau
5. Geoffrey E. Hinton
6. Kyunghyun Cho
7. Jimmy Ba
8. Ilya Sutskever
9. Guillaume Lample
10. Alex Krizhevsky

Who trusts Matthieu Felix overall

1. Graham Neubig
2. Devendra Singh Sachan
3. Holger Schwenk
4. Surafel Melaku Lakew
5. Antonios Anastasopoulos
6. Toan Q. Nguyen
7. Julian Salazar
8. Yulia Tsvetkov

Papers from Matthieu Felix's perspective

Ordered by how strongly the researchers Matthieu Felix trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? (2018) — 371 citations