Liyi Dai

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Artificial Intelligence — 7 citations into it
• Generative Models — 7 citations into it

Whom Liyi Dai trusts overall

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

1. Geoffrey E. Hinton
2. Jon Gauthier
3. Michael R. Kosorok

Papers from Liyi Dai's perspective

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

1. GENERATIVE ADVERSARIAL NETS
2. Distilling the Knowledge in a Neural Network (arXiv.org)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Rethinking the Inception Architecture for Computer Vision
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks (2018) — 37 citations