Rune Hylsberg Jacobsen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Optimization & Training — 9 citations into it
• Media Technology — 6 citations into it

Whom Rune Hylsberg Jacobsen trusts overall

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

1. Zhe Zhu
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sergey Ioffe
5. Alex Krizhevsky
6. Alexandru Cristian Telea
7. Xavier Glorot
8. David E. Rumelhart
9. Christian Szegedy
10. Yann LeCun

Papers from Rune Hylsberg Jacobsen's perspective

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

Their papers

• A cloud detection algorithm for satellite imagery based on deep learning (2019) — 372 citations