Mi Suk Lee

Signal Processing · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mi Suk Lee trusts overall

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

  1. Srihari Kankanahalli
  2. Kaiming He
  3. Diederik P. Kingma
  4. X. Zhang
  5. Geoffrey E. Hinton
  6. Eirikur Agustsson
  7. Edward M. Painter
  8. Jimmy Ba
  9. Wenzhe Shi
  10. Shaoqing Ren

Papers from Mi Suk Lee's perspective

Ordered by how strongly the researchers Mi Suk Lee 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers