Wonseok Jeon

Reinforcement Learning · 2018

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 16 citations into it
• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Wonseok Jeon trusts overall

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

1. Diederik P. Kingma
2. Qiang Liu
3. Andrew Y. Ng
4. Geoffrey E. Hinton
5. Sergey Levine
6. Jonathan Ho
7. E. Todorov
8. Jimmy Ba
9. Yoshua Bengio
10. John Schulman

Who trusts Wonseok Jeon overall

1. Yuping Luo
2. Huazhe Xu

Papers from Wonseok Jeon's perspective

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

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

Their papers

• A Bayesian Approach to Generative Adversarial Imitation Learning (2018) — 41 citations