Á. Fernández-Leal

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Safety, Robustness & Interpretability — 20 citations into it

Whom Á. Fernández-Leal trusts overall

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

1. Burr Settles

Papers from Á. Fernández-Leal's perspective

Ordered by how strongly the researchers Á. Fernández-Leal 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. Curriculum learning
4. Visualizing and Understanding Convolutional Networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Human-in-the-loop machine learning: a state of the art (2022) — 865 citations