Jörg Lücke

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 28 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #27,503 of 35,345 by trust here, #26,682 by citations
• Optimization & Training — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Computational Theory and Mathematics — 7 citations into it; #9,680 of 12,182 by trust here, #7,501 by citations
• Neural Architecture Search & AutoML — 7 citations into it

Whom Jörg Lücke trusts overall

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

1. Yoshua Bengio
2. Frank Hutter
3. James Bergstra
4. Geoffrey E. Hinton
5. Yann LeCun
6. Alex Krizhevsky
7. Jasper Snoek
8. Holger H. Hoos
9. Ryan P. Adams
10. Diederik P. Kingma

Who trusts Jörg Lücke overall

1. Luca Franceschi
2. Yaoyao Liu
3. Tobias Hinz

Papers from Jörg Lücke's perspective

Ordered by how strongly the researchers Jörg Lücke 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Beyond Manual Tuning of Hyperparameters (2015) — 187 citations