Stefan Schulte
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Optimization & Training — 7 citations into it
Whom Stefan Schulte trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- L. Eon Bottou
- Robert Hecht-Nielsen
- Xavier Glorot
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
Who trusts Stefan Schulte overall
Papers from Stefan Schulte's perspective
Ordered by how strongly the researchers Stefan Schulte 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)
- Understanding the difficulty of training deep feedforward neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- On the importance of initialization and momentum in deep learning
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Optimized IoT service placement in the fog (2017) — 331 citations
- Blockchains for Business Process Management - Challenges and Opportunities (2017) — 632 citations
- Predicting Cloud Resource Utilization (2016) — 69 citations