Wang-Zhou Dai

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Wang-Zhou Dai trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Yann LeCun
5. Sepp Hochreiter
6. Christian Szegedy
7. Ilya Sutskever
8. Ivan Bratko
9. Martin Thoma
10. Alex Graves

Who trusts Wang-Zhou Dai overall

1. Robin Manhaeve
2. Sebastijan Dumancic

Papers from Wang-Zhou Dai's perspective

Ordered by how strongly the researchers Wang-Zhou Dai 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Tunneling Neural Perception and Logic Reasoning through Abductive Learning (2018) — 24 citations