Joseph N. Wilson

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it; #17,941 of 35,345 by trust here, #19,873 by citations
• Probabilistic & Bayesian Methods — 7 citations into it
• Statistics and Probability — 7 citations into it

Whom Joseph N. Wilson trusts overall

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

1. David John Cameron MacKay
2. Robert A. Jacobs
3. Michael I. Jordan
4. Volker Tresp
5. Michael I. Jordanzoubin
6. Lijuan Cao
7. Charles M. Bishop
8. Geoffrey E. Hinton
9. Arthur P. Dempster
10. John Geweke

Who trusts Joseph N. Wilson overall

1. Juan Shen
2. William Fedus
3. Xiaobin Chang
4. Yuxuan Lou
5. Haitao Liu

Papers from Joseph N. Wilson's perspective

Ordered by how strongly the researchers Joseph N. Wilson 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. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Twenty Years of Mixture of Experts (2012) — 684 citations