Michael Klingbeil
Signal Processing · 2022
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 11 citations into it
- Artificial Intelligence — 10 citations into it
- Speech & Audio — 8 citations into it
Whom Michael Klingbeil trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Michael Klingbeil's perspective
Ordered by how strongly the researchers Michael Klingbeil 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)
- Densely Connected Convolutional Networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions