Virginia de Sa

Artificial Intelligence · 1993–2018

A researcher in the Science corpus: 8 papers; trusts 274 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

Whom Virginia de Sa trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Inderjit S. Dhillon
  4. Yoshua Bengio
  5. Tomas Mikolov
  6. Ilya Sutskever
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. J. Urgen Schmidhuber
  10. Jimmy Ba

Who trusts Virginia de Sa overall

  1. Changqing Zhang
  2. Suzanna Becker
  3. David F. Harwath
  4. Richard Zhang
  5. Xianchao Zhang
  6. Xiaochun Cao
  7. Xiaotong Zhang
  8. Nimrod Rappoport
  9. Huan Fu
  10. Alexei A. Efros

Papers from Virginia de Sa's perspective

Ordered by how strongly the researchers Virginia de Sa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers