Paolo Papotti

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 11 papers; trusts 69 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Paolo Papotti trusts overall

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

  1. Wenfei Fan
  2. Xu Chu
  3. Percy Liang
  4. Ihab F. Ilyas
  5. Philip Bohannon
  6. Joohyung Lee
  7. Luis Galárraga
  8. Geoffrey E. Hinton
  9. Yoshua Bengio
  10. Floris Geerts

Who trusts Paolo Papotti overall

  1. Ihab F. Ilyas
  2. Xu Chu
  3. Naser Ahmadi
  4. Ziawasch Abedjan
  5. Theodoros Rekatsinas
  6. Neema Kotonya
  7. Sanjay Krishnan
  8. Mohammad Mahdavi
  9. Mohammed Saeed
  10. Avanika Narayan

Papers from Paolo Papotti's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers