Claes F. Lundström

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 45 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 — 27 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Safety, Robustness & Interpretability — 13 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Claes F. Lundström trusts overall

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

1. Christian Szegedy
2. Kaiming He
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Deborah Silver
7. Yann LeCun
8. Diederik P. Kingma

Papers from Claes F. Lundström's perspective

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

Their papers

• Measuring Domain Shift for Deep Learning in Histopathology (2020) — 282 citations