Yiwei Bai

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Reinforcement Learning — 33 citations into it

Whom Yiwei Bai trusts overall

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

1. Junling Hu
2. Volodymyr Mnih
3. Barret Zoph
4. Michael P. Wellman
5. Geoffrey E. Hinton
6. Richard S. Sutton
7. Quoc V. Le
8. Yoshua Bengio
9. Alex Graves
10. Alex Krizhevsky

Papers from Yiwei Bai's perspective

Ordered by how strongly the researchers Yiwei Bai 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. Long Short-Term Memory
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Asynchronous Methods for Deep Reinforcement Learning
10. Human-level control through deep reinforcement learning

Their papers

• An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning (2017) — 7 citations
• A Study of AI Population Dynamics with Million-agent Reinforcement Learning (2017) — 41 citations