Katharina Siobhan Kohls

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Katharina Siobhan Kohls trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Geoffrey E. Hinton
  2. Nicholas Carlini
  3. Gonzalo Navarro
  4. Nicolas Papernot
  5. Yoshua Bengio
  6. Ian J. Goodfellow
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Oriol Vinyals
  10. Seyed-Mohsen Moosavi-Dezfooli

Papers from Katharina Siobhan Kohls's perspective

Ordered by how strongly the researchers Katharina Siobhan Kohls trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Distilling the Knowledge in a Neural Network (arXiv.org)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers