Gabriele Pergola

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 — 15 citations into it
• Natural Language Processing — 11 citations into it
• Molecular Biology — 5 citations into it

Whom Gabriele Pergola trusts overall

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

1. Iz Beltagy
2. Mark Neumann
3. Jacob Devlin
4. Pranav Rajpurkar
5. Matthew E. Peters
6. Kyle Lo
7. Bridger Waleed Ammar
8. Suchin Gururangan
9. Jinhyuk Lee
10. Geoffrey E. Hinton

Papers from Gabriele Pergola's perspective

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

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

Their papers

• Boosting Low-Resource Biomedical QA via Entity-Aware Masking Strategies (2021) — 38 citations