Peng Yun

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom Peng Yun trusts overall

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

  1. Alexey Dosovitskiy
  2. John Schulman

Who trusts Peng Yun overall

  1. Sergey I. Nikolenko

Papers from Peng Yun's perspective

Ordered by how strongly the researchers Peng Yun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Et al
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  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