Lin Li

Artificial Intelligence · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #31,093 of 35,345 by trust here, #25,040 by citations

Whom Lin Li trusts overall

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

1. Alex Krizhevsky
2. Guirong Liu
3. Yann LeCun
4. E. Weinan
5. Jifeng Dai
6. Isaac E. Lagaris
7. Sergio R. Idelsohn
8. Geoffrey E. Hinton
9. Raman Arora

Who trusts Lin Li overall

1. Natarajan Sukumar

Papers from Lin Li's perspective

Ordered by how strongly the researchers Lin Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Learning Multiple Layers of Features from Tiny Images
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rectified Linear Units Improve Restricted Boltzmann Machines
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Relu Deep Neural Networks and Linear Finite Elements (2018) — 364 citations