Kaiyi Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 11 citations into it
• Representation & Self-Supervised Learning — 11 citations into it

Whom Kaiyi Lin trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Baochen Sun
6. Yoshua Bengio
7. Andrew Zisserman
8. Yoon Kim
9. Kaiming He
10. Yann LeCun

Papers from Kaiyi Lin's perspective

Ordered by how strongly the researchers Kaiyi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Cross-Modal Common Representations by Private–Shared Subspaces Separation (2020) — 51 citations