David Widmann

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Widmann trusts overall

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

  1. Jochen Bröcker
  2. Alex Krizhevsky
  3. J. Brocker
  4. Miguel A. Arcones
  5. C. Ferro
  6. Geoffrey E. Hinton
  7. Yann LeCun
  8. Kaiming He
  9. Arthur Gretton
  10. Ananya Kumar

Who trusts David Widmann overall

  1. Fredrik K. Gustafsson
  2. Ananya Kumar

Papers from David Widmann's perspective

Ordered by how strongly the researchers David Widmann 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. Gradient-based learning applied to document recognition
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  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