Bradley C. Boehmke
Artificial Intelligence · 2019
A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #5,068 of 35,345 by trust here, #8,619 by citations
- Safety, Robustness & Interpretability — 42 citations into it; #340 of 2,251 by trust here, #748 by citations
- Computer Vision and Pattern Recognition — 21 citations into it
- Safety Research — 20 citations into it
- AI Ethics, Fairness & Society — 14 citations into it
- Health Informatics — 7 citations into it
Whom Bradley C. Boehmke trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Rudin
- Zachary Chase Lipton
- Sandra Wachter
- Geoffrey E. Hinton
- J. Urgen Schmidhuber
- Brent Daniel Mittelstadt
- Alex Krizhevsky
- Yoshua Bengio
- Karen Simonyan
- Christian Szegedy
Who trusts Bradley C. Boehmke overall
- Enrico Camporeale
- Shubham Rathi
- Karthikeyan K
- Arun Das
- Maximilian Pichler
- Arnaud Van Looveren
- Sarah Wiegreffe
- Christoph Molnar
- Dominik Janzing
- Ribana Roscher
Papers from Bradley C. Boehmke's perspective
Ordered by how strongly the researchers Bradley C. Boehmke 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
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Interpretable Machine Learning (2019) — 3,181 citations
- Hands-On Machine Learning with R (2019) — 474 citations