Lukas Tuggener

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it

Whom Lukas Tuggener trusts overall

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

1. Bernhard Schölkopf
2. Matthias Feurer
3. Wolfgang Banzhaf
4. Kevin G. Jamieson
5. Barret Zoph
6. Frank Hutter
7. Geoffrey E. Hinton
8. Corinna Cortes
9. Yoshua Bengio
10. Alex Krizhevsky

Papers from Lukas Tuggener's perspective

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

Their papers

• Automated Machine Learning in Practice: State of the Art and Recent Results (2019) — 76 citations
• Deep Learning in the Wild (2018) — 45 citations