Seokhwan Kim

Artificial Intelligence · with Dernoncourt · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Seokhwan Kim trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Tomas Mikolov
  4. Yoshua Bengio
  5. Ilya Sutskever
  6. Matthew D. Zeiler
  7. Sepp Hochreiter
  8. Alex Krizhevsky
  9. Oriol Vinyals
  10. Alex Graves

Who trusts Seokhwan Kim overall

  1. Joo-Kyung Kim
  2. Greg Van Houdt

Papers from Seokhwan Kim's perspective

Ordered by how strongly the researchers Seokhwan 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers