Mi-young Kang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mi-young Kang trusts overall

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

  1. Philipp Koehn
  2. Minh-Thang Luong
  3. Chris Dyer
  4. Barret Zoph
  5. Yoon Kim
  6. Marzieh Fadaee
  7. Christopher D. Manning
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Ondrej Bojar

Papers from Mi-young Kang's perspective

Ordered by how strongly the researchers Mi-young Kang trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers