Stefan Lörwald

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Lörwald trusts overall

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

  1. Bernhard Schölkopf
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Matthias Feurer
  5. Yoshua Bengio

Papers from Stefan Lörwald's perspective

Ordered by how strongly the researchers Stefan Lörwald 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. Long Short-Term Memory
  4. Going deeper with convolutions
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers