Boojoong Kang

Signal Processing · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Boojoong Kang trusts overall

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

  1. Geoffrey E. Hinton
  2. Moo K. Chung
  3. Vinod Nair
  4. Kevin P. Murphy
  5. Lok K. Yan
  6. Yajin Zhou
  7. Yoshua Bengio
  8. Nitish Srivastava
  9. Alex Krizhevsky
  10. Karen Simonyan

Who trusts Boojoong Kang overall

  1. Junyang Qiu

Papers from Boojoong Kang's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Dropout: a simple way to prevent neural networks from overfitting
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. Learning Multiple Layers of Features from Tiny Images

Their papers