Timm Teubner

Sociology and Political Science · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Timm Teubner trusts overall

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

  1. David Gefen
  2. Fred D. Davis
  3. V. Venkatesh
  4. Michal Kosinski
  5. Matthew D. Zeiler
  6. Karen Simonyan
  7. Grgoire Montavon
  8. Geoffrey E. Hinton
  9. Stefan Palan
  10. Rob Fergus

Papers from Timm Teubner's perspective

Ordered by how strongly the researchers Timm Teubner 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Visualizing and Understanding Convolutional Networks

Their papers