Jinyang Yuan

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it
• Artificial Intelligence — 18 citations into it
• Generative Models — 8 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it
• Cognitive Neuroscience — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jinyang Yuan trusts overall

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

1. Klaus Greff
2. T. Griffiths
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Zoubin Ghahramani
6. Andriy Mnih
7. J. Urgen Schmidhuber
8. Yee Whye Teh
9. Yoshua Bengio
10. Anne Treisman

Who trusts Jinyang Yuan overall

1. Aleksandar Stani'c

Papers from Jinyang Yuan's perspective

Ordered by how strongly the researchers Jinyang Yuan 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. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers

• Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation (2019) — 25 citations