H. Kim

Artificial Intelligence · with Choi · 2017–2020

A researcher in the Science corpus: 3 papers; trusts 68 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom H. Kim trusts overall

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

  1. Diederik P. Kingma
  2. Kyunghyun Cho
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Nick Craswell
  6. Jimmy Ba
  7. Ilya Sutskever
  8. Nal Kalchbrenner
  9. Alex Krizhevsky
  10. Michael Collins

Who trusts H. Kim overall

  1. Martin Fajcik

Papers from H. Kim's perspective

Ordered by how strongly the researchers H. 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. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers