Carlos Pérez Estruch

2017

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Carlos Pérez Estruch trusts overall

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

1. Sergey Ioffe
2. Kaiming He
3. Geoffrey E. Hinton
4. Moshe Koppel
5. David M. Blei
6. Nitish Srivastava
7. Christian Szegedy
8. Alex Krizhevsky
9. Shlomo Engelson Argamon
10. Andrew Y. Ng

Papers from Carlos Pérez Estruch's perspective

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

Their papers

• Learning Multimodal Gender Profile using Neural Networks (2017) — 6 citations