Klaus-Jürgen Diepold

Artificial Intelligence · 2012–2021

A researcher in the Science corpus: 2 papers; trusts 135 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Klaus-Jürgen Diepold trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. J. Urgen Schmidhuber
  5. Andrew Y. Ng
  6. Diederik P. Kingma
  7. Jakob N. Foerster
  8. Alex Krizhevsky
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Klaus-Jürgen Diepold overall

  1. A. Bovik
  2. Zeina Sinno

Papers from Klaus-Jürgen Diepold's perspective

Ordered by how strongly the researchers Klaus-Jürgen Diepold 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Reinforcement Learning: An Introduction
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers