Simone Scalabrino

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Natural Language Processing — 27 citations into it
• Model Architectures — 7 citations into it

Whom Simone Scalabrino trusts overall

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

1. Alex Graves
2. Geoffrey E. Hinton
3. Chin-Yew Lin
4. Kaiming He
5. Jimmy Ba
6. Yoshua Bengio
7. Ilya Sutskever
8. Alex Krizhevsky
9. Nitish Srivastava
10. Diederik P. Kingma

Who trusts Simone Scalabrino overall

1. Toufique Ahmed

Papers from Simone Scalabrino's perspective

Ordered by how strongly the researchers Simone Scalabrino 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Dropout: a simple way to prevent neural networks from overfitting
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Studying the Usage of Text-To-Text Transfer Transformer to Support Code-Related Tasks (2021) — 285 citations