Brent Komer
Artificial Intelligence · 2014–2015
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it; #7,544 of 35,345 by trust here, #11,750 by citations
- Optimization & Training — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Neural Architecture Search & AutoML — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
Whom Brent Komer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James Bergstra
- Hugo Larochelle
- Katharina Eggensperger
- Jasper Snoek
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- Frank Hutter
- Alex Krizhevsky
- Dumitru Erhan
Who trusts Brent Komer overall
- Matthias Feurer
- Frank Hutter
- Marc-André Zöller
- Katharina Eggensperger
- Gang Luo
- Li Yang
- Marco F. Huber
- Jost Tobias Springenberg
- Tong Yu
- Radwa El Shawi
Papers from Brent Komer's perspective
Ordered by how strongly the researchers Brent Komer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn (2014) — 317 citations
- Hyperopt: a Python library for model selection and hyperparameter optimization (2015) — 963 citations