Carl R. Andersson

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 6 citations into it

Whom Carl R. Andersson trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Yann LeCun
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Yoshua Bengio
7. X. Zhang
8. Bianca Zadrozny

Papers from Carl R. Andersson's perspective

Ordered by how strongly the researchers Carl R. Andersson 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. Gradient-based learning applied to document recognition
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
5. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Automatic diagnosis of the 12-lead ECG using a deep neural network (2019) — 1,027 citations
• Evaluating model calibration in classification (2019) — 273 citations