Michaela Schaeuble
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #15,396 of 21,575 by trust here, #12,689 by citations
- Artificial Intelligence — 5 citations into it
Whom Michaela Schaeuble trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Steven M. LaValle
- Kaiming He
- Yann LeCun
- Jimmy Ba
- Geoffrey E. Hinton
- X. Zhang
- Alex Krizhevsky
- Volodymyr Mnih
- Yoshua Bengio
Who trusts Michaela Schaeuble overall
- Lei Tai
- Edouard Leurent
- Tingxiang Fan
- Pinxin Long
- Wilko Schwarting
- Vivienne Sze
- Hao-Tien Lewis Chiang
- Edward Groshev
Papers from Michaela Schaeuble's perspective
Ordered by how strongly the researchers Michaela Schaeuble trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)