Gilwoo Lee

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it; #33,848 of 35,345 by trust here, #24,417 by citations
• Reinforcement Learning — 31 citations into it; #2,156 of 2,242 by trust here, #1,895 by citations
• Computer Vision and Pattern Recognition — 17 citations into it; #20,688 of 21,575 by trust here, #15,955 by citations
• Management Science and Operations Research — 10 citations into it

Whom Gilwoo Lee trusts overall

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

1. Ahmed Hussain Qureshi
2. Daniel Russo
3. Richard S. Sutton
4. Stéphane Ross
5. Geoffrey E. Hinton
6. Michael L. Littman
7. Diederik P. Kingma
8. Jonathan Ho
9. Sergey Levine
10. Yoshua Bengio

Who trusts Gilwoo Lee overall

1. Ofir Nachum

Papers from Gilwoo Lee's perspective

Ordered by how strongly the researchers Gilwoo Lee 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Reinforcement Learning: An Introduction

Their papers

• Imitation Learning as f-Divergence Minimization (2019) — 193 citations
• Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges (2020) — 14 citations