Yoonsung Kim

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Yoonsung Kim trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Dzmitry Bahdanau
6. Volodymyr Mnih
7. Yann LeCun
8. Alex Graves
9. J. Urgen Schmidhuber
10. E. Todorov

Papers from Yoonsung Kim's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Asynchronous Methods for Deep Reinforcement Learning

Their papers

• Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning (2021) — 11 citations