Jorn W. T. Peters

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jorn W. T. Peters trusts overall

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

  1. Diederik P. Kingma
  2. Max Welling
  3. Laurent Dinh
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. J. Duda
  7. Kaiming He
  8. Alex Krizhevsky
  9. Aäron van den Oord
  10. Yann LeCun

Who trusts Jorn W. T. Peters overall

  1. Shifeng Zhang
  2. Maurice Weiler
  3. Simon Graham
  4. Sam Bond-Taylor
  5. Siyu Wang
  6. Simon Washington
  7. James Townsend
  8. George Papamakarios
  9. Rianne van den Berg

Papers from Jorn W. T. Peters's perspective

Ordered by how strongly the researchers Jorn W. T. Peters trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers