Gérôme Bovet

Computer Networks and Communications · 2021–2022

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

• Computer Networks and Communications — 30 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Gérôme Bovet trusts overall

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

1. Geoffrey E. Hinton

Papers from Gérôme Bovet's perspective

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

1. ImageNet: A large-scale hierarchical image database
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Distilling the Knowledge in a Neural Network (arXiv.org)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges (2022) — 522 citations
• Federated Learning for Malware Detection in IoT Devices (2021) — 381 citations