Caihua Shan

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Caihua Shan trusts

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

  1. M. Franklin (in Artificial Intelligence)

Papers from Caihua Shan's perspective

Ordered by how strongly the researchers Caihua Shan 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Latent Dirichlet Allocation

Their papers