Isabela Albuquerque

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 4 papers; trusts 200 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Isabela Albuquerque trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Yann LeCun
  5. Yoshua Bengio
  6. Kaiming He
  7. Antonio Torralba
  8. Ilya Sutskever
  9. L. Eon Bottou
  10. Christian Szegedy

Who trusts Isabela Albuquerque overall

  1. Divyat Mahajan
  2. Jindong Wang
  3. Ngoc-Trung Tran
  4. Shruti Tople
  5. Axel Sauer
  6. Cuiling Lan

Papers from Isabela Albuquerque's perspective

Ordered by how strongly the researchers Isabela Albuquerque 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers