Kun Wang

Artificial Intelligence · with Luo · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kun Wang trusts overall

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

  1. Diederik P. Kingma
  2. Rico Sennrich
  3. Geoffrey E. Hinton
  4. Oriol Vinyals
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Alex Graves
  10. Yann LeCun

Who trusts Kun Wang overall

  1. Weijia Xu
  2. Marine Carpuat

Papers from Kun Wang's perspective

Ordered by how strongly the researchers Kun Wang 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. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Layer Normalization

Their papers