Fernando Navarro

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Fernando Navarro trusts overall

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

1. Christian Szegedy
2. Ian J. Goodfellow

Papers from Fernando Navarro's perspective

Ordered by how strongly the researchers Fernando Navarro 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. Intriguing properties of neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Rethinking the Inception Architecture for Computer Vision
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Generalizability vs. Robustness: Adversarial Examples for Medical Imaging (2018) — 102 citations