Seokhwan Kim

Natural Language Processing · with Hakkani-Tür · 2019–2021

A researcher in the Science corpus: 7 papers; trusts 117 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Seokhwan Kim trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Diederik P. Kingma
  5. Oriol Vinyals
  6. Alec Radford
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Alex Graves
  10. Kaiming He

Who trusts Seokhwan Kim overall

  1. Karolina Stańczak
  2. Hila Gonen

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. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers