Yilun Lin

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it
• Artificial Intelligence — 31 citations into it
• Generative Models — 26 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Control and Systems Engineering — 6 citations into it

Whom Yilun Lin trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. J. Urgen Schmidhuber
5. Yann LeCun
6. Alex Krizhevsky
7. Ilya Sutskever
8. Radford M. Neal
9. Kaiming He
10. Alex Graves

Papers from Yilun Lin's perspective

Ordered by how strongly the researchers Yilun 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. 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. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Capturing Car-Following Behaviors by Deep Learning (2018) — 308 citations
• Generative adversarial networks: introduction and outlook (2017) — 652 citations