Daehee Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 85 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daehee Kim trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Yann LeCun
  7. Jia Deng
  8. Ross B. Girshick
  9. Ilya Sutskever
  10. L. V. D. van der Maaten

Who trusts Daehee Kim overall

  1. Jindong Wang
  2. Cuiling Lan

Papers from Daehee Kim's perspective

Ordered by how strongly the researchers Daehee 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers