William Wang

Artificial Intelligence · 2017

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

Subfields

• Artificial Intelligence — 18 citations into it; #32,986 of 35,345 by trust here, #26,682 by citations

Whom William Wang trusts overall

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

1. Diederik P. Kingma
2. Tim Salimans
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ian J. Goodfellow
6. Yoshua Bengio
7. Max Welling
8. Kaiming He
9. Yann LeCun
10. Radford M. Neal

Who trusts William Wang overall

1. Matthias Hein
2. Alexander Meinke
3. Chen He
4. Thanard Kurutach
5. Patrick Lewis
6. Maksym Andriushchenko
7. Ruiping Wang

Papers from William Wang's perspective

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

Their papers

• Safer Classification by Synthesis (2017) — 41 citations