Jungsuk Kim

Artificial Intelligence · with Chandrashekaran · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jungsuk Kim trusts overall

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

  1. Andreas Stolcke
  2. Alex Krizhevsky
  3. Hank Liao
  4. Kaiming He
  5. Daniel Povey
  6. Sergey Zagoruyko
  7. Geoffrey E. Hinton
  8. Yoshua Bengio
  9. Bo Li
  10. Anthony Rousseau

Who trusts Jungsuk Kim overall

  1. Ronan Collobert
  2. Qiantong Xu
  3. Gabriel Synnaeve

Papers from Jungsuk Kim's perspective

Ordered by how strongly the researchers Jungsuk 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. 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