Patrick Doetsch

Artificial Intelligence · 2013–2016

A researcher in the Science corpus: 4 papers; trusts 86 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Doetsch trusts overall

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

  1. Alex Graves
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. J. Urgen Schmidhuber
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Dzmitry Bahdanau
  8. Sepp Hochreiter
  9. Alex Krizhevsky
  10. Jimmy Ba

Who trusts Patrick Doetsch overall

  1. Albert Zeyer
  2. Kazuki Irie
  3. Ralf Schlüter
  4. Hermann Ney
  5. Christoph Lüscher
  6. Wei Zhou
  7. Rohit Prabhavalkar
  8. Nick Rossenbach
  9. Wilfried Michel
  10. Eugen Beck

Papers from Patrick Doetsch's perspective

Ordered by how strongly the researchers Patrick Doetsch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers