Jean-Baptiste Gaya

Artificial Intelligence · 2022–2024

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it

Whom Jean-Baptiste Gaya trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Jimmy Ba
4. Alex Krizhevsky
5. Yann LeCun
6. Diederik P. Kingma
7. J. Urgen Schmidhuber
8. Andrei A. Rusu
9. Marc'Aurelio Ranzato
10. Kaiming He

Papers from Jean-Baptiste Gaya's perspective

Ordered by how strongly the researchers Jean-Baptiste Gaya 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Llama 3 Herd of Models (2024) — 17,085 citations
• Building a Subspace of Policies for Scalable Continual Learning (2022) — 41 citations