John Martinsson

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it
• Generative Models — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom John Martinsson trusts overall

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

1. Kaiming He
2. Individualized Treat
3. Geoffrey E. Hinton
4. Harrison Edwards
5. Alex Krizhevsky
6. Proteek Chandan Roy
7. Diederik P. Kingma
8. Seong Joon Oh
9. X. Zhang
10. Richard S. Zemel

Papers from John Martinsson's perspective

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

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

Their papers

• Adversarial representation learning for synthetic replacement of private attributes (2020) — 9 citations