Francesca Naretto

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 100 citations into it
• Safety, Robustness & Interpretability — 58 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Information Systems — 9 citations into it
• AI Ethics, Fairness & Society — 5 citations into it

Whom Francesca Naretto trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Been Kim
4. Riccardo Guidotti
5. Yoshua Bengio
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Pedro M. Domingos
9. Sandra Wachter
10. Yann LeCun

Papers from Francesca Naretto's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Benchmarking and survey of explanation methods for black box models (2021) — 345 citations