Francesco Barbieri

Artificial Intelligence · with Camacho-Collados · 2002–2022

A researcher in the Science corpus: 7 papers; trusts 84 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Francesco Barbieri trusts overall

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

  1. Tomas Mikolov
  2. Armand Joulin
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Ilya Sutskever
  7. Alex Krizhevsky
  8. Alex Graves
  9. Kaiming He
  10. Alexis Conneau

Who trusts Francesco Barbieri overall

  1. Ruiqi Zhong
  2. Daniel Loureiro
  3. José Camacho-Collados
  4. Katikapalli Subramanyam Kalyan
  5. Shangbin Feng
  6. Luis Espinosa Anke
  7. Kristy Lee
  8. Sewon Min
  9. Wenxuan Zhang
  10. Alyssa Lees

Papers from Francesco Barbieri's perspective

Ordered by how strongly the researchers Francesco Barbieri 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. ImageNet: A large-scale hierarchical image database
  8. Gradient-based learning applied to document recognition
  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