Hugo Laurençon

Artificial Intelligence · 2024

A researcher in the Science corpus: 1 paper; trusts 78 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 88 citations into it
• Computer Vision and Pattern Recognition — 79 citations into it
• Question Answering & Reading Comprehension — 8 citations into it

Whom Hugo Laurençon trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Jia Deng
7. Ilya Sutskever
8. Yann LeCun
9. Ross B. Girshick
10. Andrew Zisserman

Who trusts Hugo Laurençon overall

1. Shengbang Tong

Papers from Hugo Laurençon's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
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. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• What matters when building vision-language models? (2024) — 379 citations