Marcin Budka
Artificial Intelligence · 2013–2017
A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #25,769 of 35,345 by trust here, #19,018 by citations
- Optimization & Training — 9 citations into it
- Management Science and Operations Research — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Information Systems — 6 citations into it
- Neural Architecture Search & AutoML — 5 citations into it
Whom Marcin Budka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- Katharina Eggensperger
- Thomas G. Dietterich
- James Bergstra
- Jasper Snoek
- Chris J. Thornton
- Wil M.P. van der Aalst
- Yoshua Bengio
- David Hilton Wolpert
- Holger H. Hoos
Who trusts Marcin Budka overall
Papers from Marcin Budka's perspective
Ordered by how strongly the researchers Marcin Budka trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- 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)
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Metalearning: a survey of trends and technologies (2013) — 377 citations
- Modelling Multi-Component Predictive Systems as Petri Nets (2017) — 10 citations
- Towards Automatic Composition of Multicomponent Predictive Systems (2016) — 23 citations