Jihyuk Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jihyuk Kim trusts overall

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

  1. Diederik P. Kingma
  2. Andrew L. Maas
  3. Yoshua Bengio
  4. Anette Hulth
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Ilya Sutskever
  8. Razvan Pascanu
  9. Jimmy Ba
  10. Kyunghyun Cho

Who trusts Jihyuk Kim overall

  1. Sebastian Gehrmann
  2. Elizabeth Clark

Papers from Jihyuk Kim's perspective

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

Their papers