Stefan Uhlich

Signal Processing · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 33 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Uhlich trusts overall

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

  1. Alex Krizhevsky
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Radford M. Neal
  5. Kaiming He
  6. Ilya Sutskever
  7. Diederik P. Kingma
  8. Pascal Vincent
  9. Yann LeCun
  10. Dimitri P. Bertsekas

Who trusts Stefan Uhlich overall

  1. Naoya Takahashi
  2. Yuki Mitsufuji
  3. Fabian-Robert Stöter
  4. Alexandre D'efossez
  5. Alex Hernandez-Garcia
  6. Antoine Liutkus
  7. Markus Nagel
  8. Nabarun Goswami
  9. Jen-Yu Liu
  10. Pritish Chandna

Papers from Stefan Uhlich's perspective

Ordered by how strongly the researchers Stefan Uhlich 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers