Peter F. Neher

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Peter F. Neher trusts overall

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

  1. Diederik P. Kingma
  2. Vinod Nair
  3. Geoffrey E. Hinton
  4. Olaf Ronneberger
  5. Brian B. Avants
  6. Jimmy Ba
  7. Ben Jeurissen
  8. David C. Van Essen

Who trusts Peter F. Neher overall

  1. Arvid Lundervold

Papers from Peter F. Neher's perspective

Ordered by how strongly the researchers Peter F. Neher trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet: A large-scale hierarchical image database
  3. Rectified Linear Units Improve Restricted Boltzmann Machines
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers