Peter Kieseberg

Artificial Intelligence · 2016–2018

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

Subfields

Whom Peter Kieseberg trusts overall

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

  1. Andreas Holzinger
  2. Alex Krizhevsky
  3. Geoffrey E. Hinton
  4. Matthew D. Zeiler
  5. Yann LeCun

Who trusts Peter Kieseberg overall

  1. Andreas Holzinger

Papers from Peter Kieseberg's perspective

Ordered by how strongly the researchers Peter Kieseberg 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. Backpropagation Applied to Handwritten Zip Code Recognition
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Human-level control through deep reinforcement learning
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers