Tao Wan

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 30 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #13,371 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 14 citations into it; #21,500 of 35,345 by trust here, #23,077 by citations
• Generative Models — 13 citations into it

Whom Tao Wan trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Ilya Sutskever
4. Kaiming He
5. Individualized Treat
6. Yoshua Bengio

Who trusts Tao Wan overall

1. Ekin Dogus Cubuk
2. Barret Zoph

Papers from Tao Wan's perspective

Ordered by how strongly the researchers Tao Wan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. GENERATIVE ADVERSARIAL NETS
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Data Augmentation in Emotion Classification Using Generative Adversarial Networks (2017) — 121 citations