Ulf Knoblich

Cognitive Neuroscience · 2005–2018

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Ulf Knoblich trusts overall

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

  1. Tomaso A. Poggio
  2. Thomas Serre
  3. Maximilian Riesenhuber
  4. Marlene R. Cohen
  5. Geoffrey E. Hinton
  6. David G. Lowe
  7. Nikos K. Logothetis
  8. Yann LeCun
  9. Rob Fergus
  10. Kunihiko Fukushima

Who trusts Ulf Knoblich overall

  1. Matthew McGinley
  2. Martin A. Vinck

Papers from Ulf Knoblich's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers