É. Hervet

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 12 citations into it

Whom É. Hervet trusts overall

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

1. Ilya Sutskever
2. Santiago Fernández
3. Alex Graves
4. J. Urgen Schmidhuber
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Oriol Vinyals
8. John Joseph Valletta
9. Mohammad Sadegh Norouzzadeh

Papers from É. Hervet's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Applications for deep learning in ecology (2018) — 557 citations