Khanh Nguyen

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 6 papers; trusts 380 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Khanh Nguyen trusts overall

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

  1. Kaiming He
  2. Ronald J. Williams
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Ilya Sutskever
  8. Yann LeCun
  9. Richard S. Sutton
  10. Jimmy Ba

Who trusts Khanh Nguyen overall

  1. Julia Kreutzer
  2. Dan Hendrycks
  3. Dallas Card
  4. Yicong Hong
  5. Jesse Thomason
  6. Noah A. Smith
  7. Ananya Kumar
  8. Yuxiang Wu
  9. Samuel Kiegeland
  10. Qi Wu

Papers from Khanh Nguyen's perspective

Ordered by how strongly the researchers Khanh Nguyen 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers