Michael Gillhofer

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 72 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Michael Gillhofer trusts overall

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

  1. Richard S. Sutton
  2. Sepp Hochreiter
  3. J. Urgen Schmidhuber
  4. Alex Graves
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Ronald J. Williams
  8. Andrew Barto
  9. Dimitri P. Bertsekas
  10. Ilya Sutskever

Who trusts Michael Gillhofer overall

  1. Wojciech Samek
  2. J. Urgen Schmidhuber
  3. Grgoire Montavon
  4. Su Young Lee
  5. Alexander R. Trott

Papers from Michael Gillhofer's perspective

Ordered by how strongly the researchers Michael Gillhofer 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers