Tairui Wang

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #32,097 of 35,345 by trust here, #22,463 by citations
• Reinforcement Learning — 22 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom Tairui Wang trusts overall

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

1. Richard S. Sutton
2. Geoffrey E. Hinton
3. Alexey Dosovitskiy
4. Xiaodan Liang
5. Yann LeCun
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Pieter Abbeel
9. Yoshua Bengio
10. Kaiming He

Who trusts Tairui Wang overall

1. Felipe Codevilla
2. Nicholas Rhinehart
3. Ardi Tampuu
4. Yi Xiao

Papers from Tairui Wang's perspective

Ordered by how strongly the researchers Tairui Wang 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving (2018) — 310 citations