Steinar Laenen

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 260 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 36 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 25 citations into it
• Meta & Continual Learning — 10 citations into it

Whom Steinar Laenen trusts overall

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

1. Geoffrey E. Hinton
2. J. Urgen Schmidhuber
3. Ruslan Salakhutdinov
4. Yoshua Bengio
5. Alex Graves
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Oriol Vinyals
9. Yann LeCun
10. Kaiming He

Who trusts Steinar Laenen overall

1. Daniela Massiceti
2. Luisa M. Zintgraf

Papers from Steinar Laenen's perspective

Ordered by how strongly the researchers Steinar Laenen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• On Episodes, Prototypical Networks, and Few-shot Learning (2020) — 136 citations