Yang Yang

Computer Vision and Pattern Recognition · with Xu · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Artificial Intelligence — 20 citations into it

Whom Yang Yang trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Yann LeCun
4. Geoffrey E. Hinton

Papers from Yang Yang's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. GENERATIVE ADVERSARIAL NETS
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Guided Variational Autoencoder for Disentanglement Learning (2020) — 126 citations