Jan Büthe

Signal Processing · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Büthe trusts overall

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

  1. Jean-Marc Valin
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Gary J. Sullivan
  5. Aäron van den Oord
  6. Geoffrey E. Hinton
  7. Kyunghyun Cho
  8. Jimmy Ba
  9. Oriol Vinyals
  10. Alex Krizhevsky

Papers from Jan Büthe's perspective

Ordered by how strongly the researchers Jan Büthe 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 classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers