Léo Tronchon

Artificial Intelligence · 2023–2024

A researcher in the Science corpus: 2 papers; trusts 132 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 142 citations into it
• Computer Vision and Pattern Recognition — 121 citations into it
• Question Answering & Reading Comprehension — 9 citations into it

Whom Léo Tronchon trusts overall

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

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

Who trusts Léo Tronchon overall

1. Shengbang Tong

Papers from Léo Tronchon's perspective

Ordered by how strongly the researchers Léo Tronchon 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. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents (2023) — 370 citations
• What matters when building vision-language models? (2024) — 379 citations