Jiaxuan Zhuo

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 12 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Generative Models — 6 citations into it

Whom Jiaxuan Zhuo trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Yann LeCun
5. Yoshua Bengio
6. Jost Tobias Springenberg
7. Augustus Odena
8. Kaiming He

Papers from Jiaxuan Zhuo's perspective

Ordered by how strongly the researchers Jiaxuan Zhuo 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. A Fast Learning Algorithm for Deep Belief Nets

Their papers

• Deep Growing Learning (2017) — 34 citations