Francesco Piccinno

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Francesco Piccinno trusts overall

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

  1. Paolo Ferragina
  2. David N. Milne
  3. Xianpei Han
  4. Marco Cornolti
  5. Ian H. Witten
  6. Sören Auer
  7. Ugo Scaiella
  8. Silviu Cucerzan
  9. Le Sun
  10. Quoc V. Le

Who trusts Francesco Piccinno overall

  1. Andrew Chisholm
  2. Wenhu Chen
  3. Michael Röder

Papers from Francesco Piccinno's perspective

Ordered by how strongly the researchers Francesco Piccinno 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. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers