Manuel Blum
Artificial Intelligence · with Eggensperger · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 64 citations into it
- Optimization & Training — 30 citations into it; #965 of 2,601 by trust here, #599 by citations
- Evaluation & Benchmarks — 15 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Neural Architecture Search & AutoML — 11 citations into it
- Management Science and Operations Research — 10 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Manuel Blum trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Bergstra
- Frank Hutter
- Katharina Eggensperger
- Eric Brochu
- R. Caruana
- Yoshua Bengio
- Holger H. Hoos
Who trusts Manuel Blum overall
Papers from Manuel Blum's perspective
Ordered by how strongly the researchers Manuel Blum trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Practical Bayesian Optimization of Machine Learning Algorithms
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Algorithms for Hyper-Parameter Optimization
- Scikit-learn: Machine Learning in Python
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
Their papers
- Auto-sklearn: Efficient and Robust Automated Machine Learning (2019) — 354 citations
- Efficient and Robust Automated Machine Learning (2015) — 1,941 citations
- Efficient and Robust Automated Machine Learning (2015)