Xi-liang Chen

Reinforcement Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 20 citations into it
• Artificial Intelligence — 18 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Xi-liang Chen trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Yoshua Bengio
4. Ilya Sutskever
5. Diederik P. Kingma
6. Pieter Abbeel
7. J. Urgen Schmidhuber
8. Alex Krizhevsky
9. Chelsea Finn
10. Yann LeCun

Papers from Xi-liang Chen's perspective

Ordered by how strongly the researchers Xi-liang Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning to Learn: Hierarchical Meta-Critic Networks (2019) — 18 citations