Joyce M. Lee

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Reinforcement Learning — 11 citations into it

Whom Joyce M. Lee trusts overall

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

1. Tuomas Haarnoja
2. Sergey Ioffe
3. Richard S. Sutton
4. Mariano De Paula
5. Christian Szegedy
6. Kyunghyun Cho
7. Sergey Levine
8. Elena Daskalaki
9. Volodymyr Mnih
10. Boris P. Kovatchev

Who trusts Joyce M. Lee overall

1. Alexander Pan

Papers from Joyce M. Lee's perspective

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

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

Their papers

• Deep Reinforcement Learning for Closed-Loop Blood Glucose Control (2020) — 83 citations