Yongni Li

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it

Whom Yongni Li trusts overall

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

1. Alex Krizhevsky
2. Leo Breiman
3. Yuqing Gao

Who trusts Yongni Li overall

1. Yang Tan

Papers from Yongni Li's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• An Information-Theoretic Approach to Transferability in Task Transfer Learning (2019) — 162 citations
• An Information-Theoretic Metric of Transferability for Task Transfer Learning (2018)