Virginie Do

Artificial Intelligence · 2020–2024

A researcher in the Science corpus: 4 papers; trusts 145 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Virginie Do trusts overall

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

  1. Diederik P. Kingma
  2. Sepp Hochreiter
  3. Shaoqing Ren
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Jimmy Ba
  7. Yoshua Bengio
  8. J. Urgen Schmidhuber
  9. Jeffrey Pennington
  10. Kyunghyun Cho

Who trusts Virginie Do overall

  1. Sarah Wiegreffe
  2. Ana Marasovic
  3. Chenhao Tan
  4. Hongwei Xue
  5. Junnan Li

Papers from Virginie Do's perspective

Ordered by how strongly the researchers Virginie Do 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers