Saejoon Kim

Economics and Econometrics · 2019

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Saejoon Kim trusts overall

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

  1. Justin A. Sirignano
  2. Tobias J. Moskowitz
  3. Yoshua Bengio
  4. Pedro Barroso
  5. Pascal Vincent
  6. Clifford S. Asness
  7. J. B. Heaton
  8. Wei Bao
  9. Hugo Larochelle
  10. Yushi Chen

Papers from Saejoon Kim's perspective

Ordered by how strongly the researchers Saejoon 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers