José Suárez-Varela

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it

Whom José Suárez-Varela trusts overall

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

1. András Varga
2. Kaiming He
3. Yarin Gal
4. Minlan Yu
5. Junyoung Chung
6. Yoshua Bengio
7. Günter Klambauer

Papers from José Suárez-Varela's perspective

Ordered by how strongly the researchers José Suárez-Varela 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN (2019) — 338 citations