K. Yin

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 209 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom K. Yin trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Zhiqin Chen
  6. Tero Karras
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Ilya Sutskever

Who trusts K. Yin overall

  1. Jun Gao
  2. Gal Metzer
  3. Elad Richardson

Papers from K. Yin's perspective

Ordered by how strongly the researchers K. Yin 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers