Hsuan-Tien Lin

Artificial Intelligence · with Chou · 2021

A researcher in the Science corpus: 1 paper; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it

Whom Hsuan-Tien Lin trusts overall

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

1. Kaiming He
2. Yongqin Xian
3. Geoffrey E. Hinton
4. Genevieve Patterson
5. Alex Krizhevsky
6. X. Zhang
7. Yoshua Bengio
8. Diederik P. Kingma
9. Zeynep Akata
10. Ross B. Girshick

Papers from Hsuan-Tien Lin's perspective

Ordered by how strongly the researchers Hsuan-Tien Lin 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. GENERATIVE ADVERSARIAL NETS
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Adaptive and Generative Zero-Shot Learning (2021) — 81 citations