Yiying Li

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Reinforcement Learning — 20 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Yiying Li trusts overall

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

1. Richard S. Sutton
2. John Schulman
3. Sergey Levine
4. Pieter Abbeel
5. Yan Duan
6. E. Todorov
7. Geoffrey E. Hinton
8. Tuomas Haarnoja
9. Diederik P. Kingma
10. Chelsea Finn

Who trusts Yiying Li overall

1. Timothy M. Hospedales

Papers from Yiying Li's perspective

Ordered by how strongly the researchers Yiying Li 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. 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. Asynchronous Methods for Deep Reinforcement Learning
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Human-level control through deep reinforcement learning

Their papers

• Online Meta-Critic Learning for Off-Policy Actor-Critic Methods (2020) — 54 citations