Na Hu

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Na Hu trusts overall

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

  1. Heiga Zen
  2. Diederik P. Kingma
  3. Alan W. Black
  4. Geoffrey E. Hinton
  5. Aäron van den Oord
  6. Oriol Vinyals
  7. Yoshua Bengio
  8. Nal Kalchbrenner
  9. Alex Graves
  10. Ilya Sutskever

Who trusts Na Hu overall

  1. Songxiang Liu
  2. Qiao Tian
  3. D. Lim
  4. Xu Tan

Papers from Na Hu's perspective

Ordered by how strongly the researchers Na Hu 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers