Martin Aastrup Olsen

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Probabilistic & Bayesian Methods — 11 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Optimization & Training — 8 citations into it

Whom Martin Aastrup Olsen trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Radford M. Neal
4. Diederik P. Kingma
5. Alex Graves
6. Yann LeCun
7. David John Cameron MacKay
8. Yoshua Bengio
9. Ilya Sutskever
10. Huaiyu Zhu

Papers from Martin Aastrup Olsen's perspective

Ordered by how strongly the researchers Martin Aastrup Olsen 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. Learning Multiple Layers of Features from Tiny Images
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Dropout: a simple way to prevent neural networks from overfitting
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet: A large-scale hierarchical image database

Their papers

• Bayesian Convolutional Neural Networks with Variational Inference (2018) — 19 citations