Margret Keuper
Computer Vision and Pattern Recognition · with Durall · 2020
A researcher in the Science corpus: 2 papers; trusts 265 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 71 citations into it; #15,971 of 21,575 by trust here, #15,162 by citations
- Artificial Intelligence — 55 citations into it
- Generative Models — 29 citations into it
- Neural Architecture Search & AutoML — 17 citations into it
- Optimization & Training — 14 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Margret Keuper trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Christian Szegedy
- Yann LeCun
- Christopher K. I. Williams
- Karen Simonyan
- Ilya Sutskever
Who trusts Margret Keuper overall
Papers from Margret Keuper's perspective
Ordered by how strongly the researchers Margret Keuper trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)