Ángel Alexander Cabrera

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it
• Natural Language Processing — 5 citations into it

Whom Ángel Alexander Cabrera trusts overall

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

1. Diederik P. Kingma
2. David Alvarez-Melis
3. Yann LeCun
4. Marco Tulio Ribeiro
5. Karen Simonyan
6. Matthew D. Zeiler
7. Geoffrey E. Hinton
8. Tommi S. Jaakkola
9. Alex Krizhevsky
10. Yoshua Bengio

Papers from Ángel Alexander Cabrera's perspective

Ordered by how strongly the researchers Ángel Alexander Cabrera trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Regularizing Black-box Models for Improved Interpretability (2019) — 85 citations