Matthieu Perrot

Artificial Intelligence · 2011–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #25,974 of 35,345 by trust here, #410 by citations
• Computer Vision and Pattern Recognition — 7 citations into it
• Optimization & Training — 5 citations into it

Whom Matthieu Perrot trusts overall

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

1. Alex Krizhevsky
2. Donald R. Jones
3. James Bergstra
4. Yoshua Bengio

Who trusts Matthieu Perrot overall

1. Frank Hutter
2. Matthias Feurer
3. Cms Collaboration

Papers from Matthieu Perrot's perspective

Ordered by how strongly the researchers Matthieu Perrot 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Practical Bayesian Optimization of Machine Learning Algorithms
6. Gradient-based learning applied to document recognition
7. Random Search for Hyper-Parameter Optimization
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Scikit-learn: Machine Learning in Python (2011) — 91,720 citations
• Hyperparameter optimization of deep neural networks: combining Hperband with Bayesian model selection (2017) — 41 citations