Emil Bjørlykhaug

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Model Architectures — 8 citations into it

Whom Emil Bjørlykhaug trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. Xavier Glorot
5. Diederik P. Kingma
6. Kaiming He
7. Ilya Sutskever
8. Vinod Nair
9. Yoav Freund
10. Yann LeCun

Papers from Emil Bjørlykhaug's perspective

Ordered by how strongly the researchers Emil Bjørlykhaug 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Remaining useful life predictions for turbofan engine degradation using semi-supervised deep architecture (2019) — 459 citations