Jaeyoung Kim

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jaeyoung Kim trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Graves
  5. George E. Dahl
  6. Dong Yu
  7. Hasim Sak
  8. Kaiming He
  9. Abdel-rahman Mohamed
  10. Yu Zhang

Who trusts Jaeyoung Kim overall

  1. Shimi Salant
  2. Chi-Chung Chen
  3. Kyu J. Han
  4. Zewang Zhang
  5. Mingqing Chen
  6. Jonathan Berant
  7. Akshay Chandrashekaran
  8. Chia-Lin Yang
  9. Qiao Tian
  10. Dong Yu

Papers from Jaeyoung Kim's perspective

Ordered by how strongly the researchers Jaeyoung Kim 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. ImageNet classification with deep convolutional neural networks
  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. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers