Yunzhu Li

Computer Vision and Pattern Recognition · with Alter · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it

Whom Yunzhu Li trusts overall

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

1. Diederik P. Kingma

Papers from Yunzhu Li's perspective

Ordered by how strongly the researchers Yunzhu Li 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. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
9. Going deeper with convolutions
10. ImageNet: A large-scale hierarchical image database

Their papers

• Learning Physical Graph Representations from Visual Scenes (2020) — 88 citations