Hyesung Kim

Artificial Intelligence · 2017–2019

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Hyesung Kim trusts overall

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

  1. H. Brendan McMahan
  2. Rie Johnson
  3. Jihong Park
  4. Tong Zhang
  5. Anthony Dewayne Hunt
  6. Jakub Konecný
  7. Medhi Bennis
  8. Daniel Ramage
  9. Ohad Shamir
  10. Olivier Guéant

Who trusts Hyesung Kim overall

  1. Jihong Park
  2. Medhi Bennis
  3. Sumudu Samarakoon
  4. Hyowoon Seo
  5. Shiva Raj Pokhrel
  6. Qinbin Li
  7. Merouane Debbah
  8. Yiwen Han
  9. Hamid Shiri
  10. Dinh C. Nguyen

Papers from Hyesung Kim's perspective

Ordered by how strongly the researchers Hyesung 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Distilling the Knowledge in a Neural Network (arXiv.org)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers