Michele Bevilacqua

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 93 citations into it
• Natural Language Processing — 44 citations into it
• Computer Vision and Pattern Recognition — 41 citations into it

Whom Michele Bevilacqua trusts overall

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

1. Diederik P. Kingma
2. Patrick Lewis
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Gautier Izacard
6. Nicola De Cao
7. Jimmy Ba
8. Ilya Sutskever
9. Alex Krizhevsky
10. Fabio Petroni

Who trusts Michele Bevilacqua overall

1. Wayne Xin Zhao
2. Shengyao Zhuang

Papers from Michele Bevilacqua's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
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

• Lost in the Middle: How Language Models Use Long Contexts (2023) — 4,355 citations
• Autoregressive Search Engines: Generating Substrings as Document Identifiers (2022) — 222 citations