Najoung Kim

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 11 papers; trusts 268 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Najoung Kim trusts overall

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

  1. Ilya Sutskever
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Diederik P. Kingma
  6. Alex Krizhevsky
  7. J. Urgen Schmidhuber
  8. Kaiming He
  9. Yann LeCun
  10. Oriol Vinyals

Who trusts Najoung Kim overall

  1. Peter Shaw
  2. Nora Kassner
  3. Yonatan Belinkov
  4. Tongshuang Sherry Wu
  5. Andrew Drozdov
  6. John Hewitt
  7. Marco Tulio Ribeiro
  8. Sebastian Schuster
  9. Yada Pruksachatkun
  10. Tal Linzen

Papers from Najoung Kim's perspective

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

Their papers