Francesca Fallucchi

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Natural Language Processing — 39 citations into it; #3,012 of 5,688 by trust here, #4,032 by citations
• Representation & Self-Supervised Learning — 16 citations into it; #1,926 of 3,145 by trust here, #2,355 by citations
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Francesca Fallucchi trusts overall

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

1. K. Erk
2. George A. Miller
3. Richard Socher
4. Jeff Mitchell
5. Dekang Lin
6. Christopher D. Manning
7. Gene H. Golub
8. Michael N. Jones
9. Yoshua Bengio

Who trusts Francesca Fallucchi overall

1. Richard Socher
2. K. Erk
3. Quoc V. Le
4. Edward Grefenstette

Papers from Francesca Fallucchi's perspective

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

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

Their papers

• KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations (2020) — 60 citations
• Estimating Linear Models for Compositional Distributional Semantics (2010) — 156 citations