Luong Hoang

Artificial Intelligence · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Luong Hoang trusts overall

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

  1. Jason Eisner
  2. Diederik P. Kingma
  3. Alex Graves
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Justin Domke
  7. Jason Aaron Edward Weston
  8. Yann LeCun
  9. Alex Krizhevsky
  10. Ilya Sutskever

Who trusts Luong Hoang overall

  1. Fabien Baradel
  2. Dichao Hu
  3. Nicholas Geneva
  4. Zeljko Agic

Papers from Luong Hoang's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers