Tae-Yoon Kim

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Tae-Yoon Kim trusts overall

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

  1. Jimmy Ba
  2. Elnaz Nouri
  3. Geoffrey E. Hinton
  4. Jacob Devlin

Who trusts Tae-Yoon Kim overall

  1. Zhaojiang Lin
  2. Qi Zhu
  3. Li Zhou

Papers from Tae-Yoon Kim's perspective

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

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

Their papers