Zejun Lin

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it
• Optimization & Training — 8 citations into it
• Model Architectures — 7 citations into it

Whom Zejun Lin trusts overall

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

1. Barret Zoph
2. Quoc V. Le
3. Ilya Loshchilov
4. Geoffrey E. Hinton
5. R. Caruana
6. Karen Simonyan
7. Alex Krizhevsky
8. Yoshua Bengio
9. Hanxiao Liu
10. Kaiming He

Papers from Zejun Lin's perspective

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

Their papers

• Deeper Insights into Weight Sharing in Neural Architecture Search (2020) — 55 citations