Alexander Shirkov

2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Alexander Shirkov trusts overall

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

1. Matthias Feurer
2. Frank Hutter
3. Leo Breiman
4. David Hilton Wolpert
5. Yoav Freund

Who trusts Alexander Shirkov overall

1. Noah Hollmann

Papers from Alexander Shirkov's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Scikit-learn: Machine Learning in Python
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. XGBoost: A Scalable Tree Boosting System
8. Efficient and Robust Automated Machine Learning
9. ImageNet: A large-scale hierarchical image database
10. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms

Their papers

• AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data (2020) — 995 citations