Jong Wook Kim

Artificial Intelligence · with Radford · 2018–2022

A researcher in the Science corpus: 9 papers; trusts 537 researchers and is trusted by 972 researchers here, as inferred from the citation graph.

Subfields

Whom Jong Wook Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Kaiming He
  6. Ilya Sutskever
  7. Yann LeCun
  8. Christian Szegedy
  9. Jimmy Ba
  10. Alex Graves

Who trusts Jong Wook Kim overall

  1. Renrui Zhang
  2. Max Morrison
  3. Zhe Gan
  4. Adam Polyak
  5. Bo Li
  6. Chunyuan Li
  7. Prafulla Dhariwal
  8. Trevor Darrell
  9. Jianwei Yang
  10. Mohit Bansal

Papers from Jong Wook Kim's perspective

Ordered by how strongly the researchers Jong Wook 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers