Hyunwoo J. Kim

Artificial Intelligence · with Fürnkranz · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Natural Language Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Hyunwoo J. Kim trusts overall

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

1. Ilya Sutskever
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Tomas Mikolov
6. Alex Krizhevsky
7. Kyunghyun Cho
8. Jimmy Ba
9. Oriol Vinyals
10. Nitish Srivastava

Who trusts Hyunwoo J. Kim overall

1. Jack Lanchantin

Papers from Hyunwoo J. Kim's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Gradient-based learning applied to document recognition
9. Dropout: a simple way to prevent neural networks from overfitting
10. ImageNet: A large-scale hierarchical image database

Their papers

• Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification (2017) — 184 citations