Kyung-Min Kim

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Kyung-Min Kim trusts overall

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

  1. Jason Aaron Edward Weston
  2. Yoshua Bengio
  3. Ryan Kiros
  4. Mark J van Rossum
  5. Ruslan Salakhutdinov
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Kaiming He

Who trusts Kyung-Min Kim overall

  1. Jie Lei
  2. Junyeong Kim
  3. Thao Minh Le
  4. Licheng Yu
  5. Devshree Patel
  6. Seonhoon Kim
  7. Zekun Yang
  8. Seongho Choi
  9. Santiago Castro
  10. Mohit Bansal

Papers from Kyung-Min Kim's perspective

Ordered by how strongly the researchers Kyung-Min Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers