Kairun Wen

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kairun Wen trusts overall

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

  1. Geoffrey E. Hinton
  2. Jonathan Frankle
  3. Jonathan T. Barron
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Diederik P. Kingma
  7. Kaiming He
  8. Yoshua Bengio
  9. Oriol Vinyals
  10. Alex Yu

Papers from Kairun Wen's perspective

Ordered by how strongly the researchers Kairun Wen 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers