Junseok Kim

Artificial Intelligence · with Lee · 2017

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #21,268 of 35,345 by trust here, #25,040 by citations
• Computer Vision and Pattern Recognition — 9 citations into it; #13,264 of 21,575 by trust here, #16,367 by citations
• Natural Language Processing — 9 citations into it; #3,624 of 5,688 by trust here, #4,601 by citations

Whom Junseok Kim trusts overall

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

1. Zhaopeng Tu
2. Rico Sennrich
3. Ilya Sutskever
4. Hany Hassan
5. Andrej Karpathy
6. Markus Freitag
7. Yoshua Bengio
8. Jiwei Li
9. Geoffrey E. Hinton

Who trusts Junseok Kim overall

1. Jesse Vig
2. Sofia Serrano

Papers from Junseok Kim's perspective

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

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

Their papers

• Interactive Visualization and Manipulation of Attention-based Neural Machine Translation (2017) — 84 citations