Lin Lan

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Reinforcement Learning — 15 citations into it
• Meta & Continual Learning — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Lin Lan trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Sergey Levine
4. Pieter Abbeel
5. Chelsea Finn
6. Richard S. Sutton
7. Geoffrey E. Hinton
8. Abhishek Gupta
9. John Schulman
10. E. Todorov

Who trusts Lin Lan overall

1. Luisa M. Zintgraf
2. Michael Crawshaw

Papers from Lin Lan's perspective

Ordered by how strongly the researchers Lin Lan 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. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Meta Reinforcement Learning with Task Embedding and Shared Policy (2019) — 56 citations