Roberto Silveira

Natural Language Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Silveira trusts overall

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

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

Who trusts Roberto Silveira overall

  1. Nina Poerner
  2. Kenton C. T. Lee
  3. Ethan Perez

Papers from Roberto Silveira's perspective

Ordered by how strongly the researchers Roberto Silveira 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers