Damir Jajetic
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 32 citations into it
- Optimization & Training — 18 citations into it
Whom Damir Jajetic trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Damir Jajetic's perspective
Ordered by how strongly the researchers Damir Jajetic 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
- Random Search for Hyper-Parameter Optimization
- Scikit-learn: Machine Learning in Python
- 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)
- Neural Architecture Search with Reinforcement Learning
- Representation Learning: A Review and New Perspectives
Their papers
- Analysis of the AutoML Challenge Series 2015-2018 (2019) — 189 citations
- A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention (2016) — 84 citations