Janek Thomas

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 97 citations into it; #28,492 of 35,345 by trust here, #22,463 by citations
• Computational Theory and Mathematics — 35 citations into it
• Optimization & Training — 33 citations into it
• Neural Architecture Search & AutoML — 18 citations into it
• Management Science and Operations Research — 17 citations into it

Whom Janek Thomas trusts overall

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

1. Frank Hutter
2. Matthias Feurer
3. Chris J. Thornton
4. James Bergstra
5. Bernd Bischl
6. Jasper Snoek

Who trusts Janek Thomas overall

1. Marc-André Zöller

Papers from Janek Thomas's perspective

Ordered by how strongly the researchers Janek Thomas trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Practical Bayesian Optimization of Machine Learning Algorithms
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Algorithms for Hyper-Parameter Optimization

Their papers

• Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges (2021) — 1,013 citations
• An Open Source AutoML Benchmark (2019) — 257 citations