Youngmoo E. Kim

Signal Processing · 2010–2011

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Youngmoo E. Kim trusts overall

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

  1. Geoffrey E. Hinton
  2. Luis von Ahn
  3. J. Stephen Downie
  4. Yoshua Bengio
  5. Lie Lu
  6. Beth T. Logan
  7. Douglas R. Turnbull
  8. T. Landauer
  9. Simon Osindero
  10. George Caridakis

Who trusts Youngmoo E. Kim overall

  1. Duc Le
  2. Xavier Favory
  3. Mingyi Chen
  4. Thierry Bertin-Mahieux
  5. Li Deng
  6. Emily Mower Provost
  7. Bob L. Sturm

Papers from Youngmoo E. Kim's perspective

Ordered by how strongly the researchers Youngmoo E. 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. A Fast Learning Algorithm for Deep Belief Nets
  9. ImageNet: A large-scale hierarchical image database
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers