Mathieu Constant

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 40 citations into it
• Natural Language Processing — 35 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Evaluation & Benchmarks — 6 citations into it

Whom Mathieu Constant trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Omer Levy
4. Geoffrey E. Hinton
5. Peter J. Rousseeuw
6. Diederik P. Kingma
7. Ilya Sutskever
8. Jacob Devlin
9. Ashish Vaswani
10. Alex Krizhevsky

Papers from Mathieu Constant's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• What do you mean, BERT? Assessing BERT as a Distributional Semantics Model (2019) — 49 citations