Dongchan Kim

Artificial Intelligence · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it; #17,611 of 35,345 by trust here, #23,077 by citations
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 8 citations into it

Whom Dongchan Kim trusts overall

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

1. Gökhan Tür
2. Sepp Hochreiter
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kyunghyun Cho
7. Dzmitry Bahdanau
8. J. Urgen Schmidhuber
9. Alex Krizhevsky
10. Ilya Sutskever

Who trusts Dongchan Kim overall

1. Hwaran Lee
2. Sebastian Ruder
3. Xiaochuang Han

Papers from Dongchan Kim's perspective

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

1. Long Short-Term Memory
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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Adversarial Adaptation of Synthetic or Stale Data (2017) — 50 citations
• Efficient Large-Scale Domain Classification with Personalized Attention (2018) — 20 citations