Mhairi Aitken

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Mhairi Aitken trusts overall

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

1. Alex Krizhevsky
2. Ilya Sutskever
3. Richard S. Sutton
4. Geoffrey E. Hinton
5. Roger C. Mayer
6. Yoshua Bengio
7. Anil K. Jain
8. Andrew Barto
9. Battista Biggio
10. Oriol Vinyals

Papers from Mhairi Aitken's perspective

Ordered by how strongly the researchers Mhairi Aitken trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Intriguing properties of neural networks
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• The relationship between trust in AI and trustworthy machine learning technologies (2019) — 310 citations