Maximilian Nielsen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 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 — 8 citations into it

Whom Maximilian Nielsen trusts overall

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

1. Christian Szegedy
2. Mingxing Tan
3. Terrance Devries
4. Quoc V. Le
5. Ekin Dogus Cubuk
6. Kaiming He
7. Ross B. Girshick
8. Alex Krizhevsky
9. Geoffrey E. Hinton

Papers from Maximilian Nielsen's perspective

Ordered by how strongly the researchers Maximilian Nielsen 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. Gradient-based learning applied to document recognition
4. Attention is All you Need (Neural Information Processing Systems)
5. Rethinking the Inception Architecture for Computer Vision
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data (2019) — 329 citations