Taeguen Kim

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Taeguen Kim trusts overall

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

  1. Moo K. Chung
  2. Geoffrey E. Hinton
  3. Vinod Nair
  4. Kevin P. Murphy
  5. Lok K. Yan
  6. Nitish Srivastava
  7. Vaibhav Rastogi
  8. Zhenlong Yuan
  9. Razvan Pascanu
  10. Daniel Arp

Who trusts Taeguen Kim overall

  1. Junyang Qiu

Papers from Taeguen Kim's perspective

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

Their papers