Anders Dalskov

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Anders Dalskov trusts overall

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

  1. Marcel Keller
  2. Payman Mohassel
  3. Alex Krizhevsky
  4. Matthieu Courbariaux
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Ivan Bjerre Damgård
  8. Yehuda Lindell
  9. Sergey Ioffe
  10. Sameer Wagh

Who trusts Anders Dalskov overall

  1. Marcel Keller

Papers from Anders Dalskov's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers