Alejandro Betancourt

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alejandro Betancourt trusts overall

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

  1. Chin-Yew Lin
  2. Tomas Mikolov
  3. Ilya Sutskever
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Tsung-Yi Lin
  7. Alex Krizhevsky
  8. Kaiming He
  9. Jimmy Ba
  10. Diederik P. Kingma

Papers from Alejandro Betancourt's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Microsoft COCO: Common Objects in Context
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers