Andrew Head

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Computer Vision and Pattern Recognition — 16 citations into it

Whom Andrew Head trusts overall

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

1. Minsuk Kahng
2. Yin Lou
3. Zachary Chase Lipton
4. Alan Y. Chiang
5. Finale Doshi-Velez
6. R. Caruana
7. Josua Krause
8. Bradley C. Boehmke
9. Stuart Card
10. Michael Bostock

Who trusts Andrew Head overall

1. Xinru Wang
2. Han Liu
3. Ashraf Abdul

Papers from Andrew Head's perspective

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

Their papers

• Gamut: A Design Probe to Understand How Data Scientists Understand Machine Learning Models (2019) — 281 citations