Stefan Weißenberger

Graph Learning · 2019

A researcher in the Science corpus: 1 paper; trusts 40 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Weißenberger trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Thomas Kipf
  4. Bryan Perozzi
  5. Ulrike von Luxburg
  6. Andrew Y. Ng
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Yann LeCun
  10. Tomas Mikolov

Who trusts Stefan Weißenberger overall

  1. Yixin Liu
  2. Benjamin Paul Chamberlain
  3. Xiyuan Wang
  4. Kaveh Hassani
  5. Hao Zhu
  6. Yu Chen
  7. Pan Li
  8. Emanuele Rossi
  9. Nicholas Sharp
  10. Mingguo He

Papers from Stefan Weißenberger's perspective

Ordered by how strongly the researchers Stefan Weißenberger 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers