Peer Kröger

Artificial Intelligence · 2003–2019

A researcher in the Science corpus: 11 papers; trusts 40 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Peer Kröger trusts overall

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

  1. Hans-Peter Kriegel
  2. John Hartigan
  3. Martin Ester
  4. Arthur Zimek
  5. Emanuel Parzen
  6. Charu C. Aggarwal
  7. Wen Jin
  8. Jörg Sander
  9. Michael E. Houle
  10. Gary M. Weiss

Who trusts Peer Kröger overall

  1. Arthur Zimek
  2. Hans-Peter Kriegel
  3. Ricardo José Gabrielli Barreto Campello
  4. Charu C. Aggarwal
  5. René Vidal
  6. Hongzhi Wang
  7. Erich Schubert
  8. Jörg Sander
  9. Ehsan Elhamifar
  10. Markus Goldstein

Papers from Peer Kröger's perspective

Ordered by how strongly the researchers Peer Kröger 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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