Mark Tensen

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 95 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 7 citations into it
• Neural Architecture Search & AutoML — 6 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Mark Tensen trusts overall

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

1. Geoffrey E. Hinton
2. Barret Zoph
3. Diederik P. Kingma
4. Kaiming He
5. Yoshua Bengio
6. Alex Krizhevsky
7. Karen Simonyan
8. Quoc V. Le
9. James Bergstra
10. Ilya Sutskever

Who trusts Mark Tensen overall

1. Jianping Gou

Papers from Mark Tensen's perspective

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

Their papers

• Teacher Guided Architecture Search (2018) — 29 citations