Paulo Villegas

Artificial Intelligence · 2022–2023

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Paulo Villegas trusts overall

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

  1. Alec Radford
  2. Jacob Devlin
  3. Kenneth Heafield
  4. Geoffrey E. Hinton
  5. Alexis Conneau
  6. Yoshua Bengio
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Guillaume Lample
  10. Alex Krizhevsky

Papers from Paulo Villegas's perspective

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

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

Their papers