John Nguyen

Artificial Intelligence · 2021

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John Nguyen trusts overall

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

  1. Alex Krizhevsky
  2. Sebastian U. Stich
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. H. Brendan McMahan
  6. Hao Yu
  7. Yoshua Bengio
  8. Yann LeCun
  9. Alec Go
  10. Diederik P. Kingma

Who trusts John Nguyen overall

  1. Dzmitry Huba

Papers from John Nguyen's perspective

Ordered by how strongly the researchers John 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers