Patrick Wagner

Molecular Biology · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Patrick Wagner trusts overall

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

  1. Diederik P. Kingma
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Leslie N. Smith
  5. Yoshua Bengio
  6. Tunca Dogan
  7. Alex Krizhevsky
  8. Ilya Loshchilov
  9. Jimmy Ba
  10. J. Urgen Schmidhuber

Papers from Patrick Wagner's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers