Kyungjae Lee

Artificial Intelligence · with Park · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Reinforcement Learning — 19 citations into it
• Management Science and Operations Research — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Kyungjae Lee trusts overall

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

1. Marc G. Bellemare
2. Will Dabney
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Sargur N. Srihari
6. Morgan Quigley
7. Kaiming He
8. Diederik P. Kingma
9. Alex Krizhevsky
10. R´emi Munos

Who trusts Kyungjae Lee overall

1. Arsenii Kuznetsov

Papers from Kyungjae Lee's perspective

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

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

Their papers

• SWAD: Domain Generalization by Seeking Flat Minima (2021) — 606 citations
• Distributional Deep Reinforcement Learning with a Mixture of Gaussians (2019) — 34 citations