Marcel Wever

Artificial Intelligence · 2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #16,765 of 35,345 by trust here, #23,731 by citations

Whom Marcel Wever trusts overall

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

1. Frank Hutter
2. Holger H. Hoos
3. Matthias Feurer
4. Felix Mohr
5. Kevin Leyton-Brown
6. Chris J. Thornton
7. Cameron Browne
8. Aaron Klein
9. James Robert Lloyd
10. James Bergstra

Who trusts Marcel Wever overall

1. Marc-André Zöller
2. Marco F. Huber
3. Bernd Bischl
4. Matthias Feurer
5. Joaquin Vanschoren

Papers from Marcel Wever's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• ML-Plan: Automated machine learning via hierarchical planning (2018) — 182 citations
• ML-Plan for Unlimited-Length Machine Learning Pipelines (2018) — 23 citations