Vincent Albouy

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it

Whom Vincent Albouy trusts overall

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

1. Ronald J. Williams
2. Kaiming He
3. Sepp Hochreiter
4. Mateusz Malinowski
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. J. Urgen Schmidhuber

Papers from Vincent Albouy's perspective

Ordered by how strongly the researchers Vincent Albouy 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. Long Short-Term Memory
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• On transfer learning using a MAC model variant (2018) — 9 citations