Shen Wang

Artificial Intelligence · with Bai · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shen Wang trusts overall

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

  1. John Scott Bridle
  2. Diederik P. Kingma
  3. Ilya Sutskever

Papers from Shen Wang's perspective

Ordered by how strongly the researchers Shen 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Going deeper with convolutions

Their papers