Stefan Harrer
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #13,165 of 35,345 by trust here, #27,551 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Efficiency & Compression — 14 citations into it
- Radiology, Nuclear Medicine and Imaging — 13 citations into it; #670 of 3,265 by trust here, #2,754 by citations
- Health Informatics — 10 citations into it; #28 of 240 by trust here, #136 by citations
- Large Language Models — 10 citations into it
- Molecular Biology — 8 citations into it
- Model Architectures — 6 citations into it
Whom Stefan Harrer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David B. Fogel
- D. Selkoe
- Geoffrey E. Hinton
- Jinhyuk Lee
- Gregory Yauney
- Yoshua Bengio
- Alex Krizhevsky
- Jimmy Ba
- Yann LeCun
- Kaiming He
Who trusts Stefan Harrer overall
Papers from Stefan Harrer's perspective
Ordered by how strongly the researchers Stefan Harrer 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Attention is not all you need: the complicated case of ethically using large language models in healthcare and medicine (2023) — 401 citations
- Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms (2020) — 345 citations
- Ensemble Knowledge Distillation for Learning Improved and Efficient Networks (2019) — 92 citations
- Artificial Intelligence for Clinical Trial Design. (2019) — 492 citations