Hyunjik Kim

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 5 papers; trusts 448 researchers and is trusted by 481 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunjik Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Jimmy Ba
  5. Alex Krizhevsky
  6. Yann LeCun
  7. Danilo Jimenez Rezende
  8. Alex Graves
  9. Kaiming He
  10. Sepp Hochreiter

Who trusts Hyunjik Kim overall

  1. Francesco Locatello
  2. Fei Ye
  3. Bernhard Schölkopf
  4. Stefan Bauer
  5. Adrian G. Bors
  6. Emilien Dupont
  7. Michael Tschannen
  8. T. Chen
  9. Raphael Suter
  10. Sjoerd van Steenkiste

Papers from Hyunjik Kim's perspective

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

Their papers