GIANG NGUYEN

Artificial Intelligence · with Jun · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 218 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom GIANG NGUYEN trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Chin-Yew Lin
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Oriol Vinyals
  8. Steven Bird
  9. Yann LeCun
  10. Tsung-Yi Lin

Who trusts GIANG NGUYEN overall

  1. Xisen Jin

Papers from GIANG NGUYEN's perspective

Ordered by how strongly the researchers GIANG 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. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers