Ursula Schmidt-Erfurth

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 10 papers; trusts 24 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Ursula Schmidt-Erfurth trusts overall

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

  1. Karen Simonyan
  2. William R. Swartout
  3. Bruce G. Buchanan
  4. Matthew D. Zeiler
  5. Pranav Rajpurkar
  6. Geoffrey E. Hinton
  7. Rishab Gargeya
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Ursula Schmidt-Erfurth overall

  1. Tharindu Fernando
  2. Paul Bergmann
  3. Kilian Batzner
  4. A. Ahuja
  5. Vitjan Zavrtanik
  6. Lukas Ruff
  7. Harshala Gammulle
  8. Guansong Pang
  9. Denis A. Gudovskiy
  10. José Ignacio Orlando

Papers from Ursula Schmidt-Erfurth's perspective

Ordered by how strongly the researchers Ursula Schmidt-Erfurth 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers