Kyungwoo Song

Computer Vision and Pattern Recognition · with Moon · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 320 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kyungwoo Song trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Ruslan Salakhutdinov
  6. Max Welling
  7. Yann LeCun
  8. Kaiming He
  9. Ilya Sutskever
  10. Radford M. Neal

Papers from Kyungwoo Song's perspective

Ordered by how strongly the researchers Kyungwoo Song 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers