Jongsoo Keum

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jongsoo Keum trusts overall

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

  1. Geoffrey E. Hinton
  2. Xavier Glorot
  3. Yoshua Bengio
  4. L. V. D. van der Maaten
  5. Yarin Gal
  6. Temple F. Smith
  7. Yoav Benjamini
  8. Diederik P. Kingma
  9. Yoshihiro Yamanishi
  10. Alex Krizhevsky

Who trusts Jongsoo Keum overall

  1. Kexin Huang

Papers from Jongsoo Keum's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers