Yulun Li

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 71 citations into it
• Reinforcement Learning — 41 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Sociology and Political Science — 7 citations into it

Whom Yulun Li trusts overall

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

1. Kenneth O. Stanley
2. Geoffrey E. Hinton
3. Joel Lehman
4. Yoshua Bengio
5. J. Urgen Schmidhuber
6. Jeff Clune
7. John Schulman
8. Ilya Sutskever
9. Diederik P. Kingma
10. Alex Krizhevsky

Papers from Yulun Li's perspective

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

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

Their papers

• Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions (2020) — 155 citations
• An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents (2018) — 55 citations