Alessandro Presta

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 4 papers; trusts 31 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 73 citations into it; #13,905 of 35,345 by trust here, #5,720 by citations
• Natural Language Processing — 67 citations into it; #5,485 of 5,688 by trust here, #2,082 by citations
• Computer Vision and Pattern Recognition — 23 citations into it; #9,136 of 21,575 by trust here, #5,507 by citations
• Information Retrieval & Search — 14 citations into it; #467 of 1,022 by trust here, #438 by citations
• Evaluation & Benchmarks — 11 citations into it
• Information Systems — 7 citations into it
• Molecular Biology — 5 citations into it

Whom Alessandro Presta trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Yann LeCun
4. Diederik P. Kingma
5. Ilya Sutskever
6. Alex Krizhevsky
7. L. Eon Bottou
8. Oriol Vinyals
9. Chris Buckley
10. Ruiqi Guo

Who trusts Alessandro Presta overall

1. Gautier Izacard
2. Yinfei Yang
3. Ji Ma
4. Jason Baldridge
5. Jianmo Ni
6. Jing Yu Koh
7. Zarana Parekh
8. Noah Constant
9. Daniel Matthew Cer
10. Nandan Thakur

Papers from Alessandro Presta's perspective

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

1. Long Short-Term Memory
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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Globally Normalized Transition-Based Neural Networks (2016) — 577 citations
• End-to-End Retrieval in Continuous Space (2018) — 108 citations
• Dependency Parsing (2009) — 624 citations
• Learning Dense Representations for Entity Retrieval (2019) — 230 citations