Alessandro Raganato

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 333 researchers and is trusted by 40 researchers here, as inferred from the citation graph.

Subfields

Whom Alessandro Raganato trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Ilya Sutskever
  4. Rico Sennrich
  5. Geoffrey E. Hinton
  6. Philipp Koehn
  7. Oriol Vinyals
  8. Kyunghyun Cho
  9. Dzmitry Bahdanau
  10. Diederik P. Kingma

Who trusts Alessandro Raganato overall

  1. José Camacho-Collados
  2. Matthew E. Peters
  3. Yonatan Belinkov
  4. Elena Voita
  5. Roberto Navigli
  6. Mohammad Taher Pilehvar
  7. Jesse Vig
  8. Shuoyang Ding
  9. Ignacio Iacobacci
  10. Phu Mon Htut

Papers from Alessandro Raganato's perspective

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

Their papers