Elena Hernández-Pereira

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 Elena Hernández-Pereira trusts overall

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

1. Burr Settles
2. Dana Angluin
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. Grgoire Montavon
8. Luis von Ahn
9. Matthew D. Zeiler
10. Diederik P. Kingma

Papers from Elena Hernández-Pereira's perspective

Ordered by how strongly the researchers Elena Hernández-Pereira 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
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