Tobias Domhan

Artificial Intelligence · with Hutter · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 51 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Optimization & Training — 18 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Neural Architecture Search & AutoML — 6 citations into it; #31 of 283 by trust here, #57 by citations
• Probabilistic & Bayesian Methods — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Tobias Domhan trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. James Bergstra
5. Frank Hutter
6. Yann LeCun
7. Adam Coates
8. Ilya Sutskever
9. Katharina Eggensperger
10. Andrew Y. Ng

Who trusts Tobias Domhan overall

1. Martin Wistuba
2. Andrés Camero
3. Bowen Baker
4. Frank Hutter
5. Liam Li
6. Gang Luo
7. Xuanyi Dong
8. Marc-André Zöller
9. Han Cai
10. Lisha Li

Papers from Tobias Domhan's perspective

Ordered by how strongly the researchers Tobias Domhan 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. Gradient-based learning applied to document recognition
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Speeding Up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves (2015) — 642 citations
• Extrapolating Learning Curves of Deep Neural Networks (2014) — 15 citations