Sebastian Dörner

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Dörner trusts overall

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

  1. Diederik P. Kingma
  2. Martín Abadi
  3. Jimmy Ba
  4. David E. Rumelhart
  5. Geoffrey E. Hinton
  6. Ronan Collobert

Who trusts Sebastian Dörner overall

  1. Hao Ye
  2. Robin Chataut
  3. Paul de Kerret
  4. Woongsup Lee
  5. Jihong Park
  6. Geoffrey Y. Li
  7. Wenchao Xia
  8. Tianqi Wang
  9. JingJing Wang
  10. Changyang She

Papers from Sebastian Dörner's perspective

Ordered by how strongly the researchers Sebastian Dörner 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Deep Learning
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers