Andrew Silva

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 75 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Andrew Silva trusts overall

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

  1. Geoffrey E. Hinton
  2. Jeffrey Pennington
  3. Richard Socher
  4. Yoshua Bengio
  5. Tomas Mikolov
  6. Jacob Devlin
  7. Diederik P. Kingma
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Andrew Silva overall

  1. Karolina Stańczak
  2. Isabelle Augenstein

Papers from Andrew Silva's perspective

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

Their papers