Emil Gustavsson

Artificial Intelligence · 2013–2018

A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Emil Gustavsson trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Yann LeCun
  5. Sergey Ioffe
  6. L. V. D. van der Maaten
  7. Christian Szegedy
  8. Alex Krizhevsky
  9. Andrew Barto
  10. Matthew J. Hausknecht

Who trusts Emil Gustavsson overall

  1. Serhii Havrylov
  2. Jakob N. Foerster

Papers from Emil Gustavsson's perspective

Ordered by how strongly the researchers Emil Gustavsson 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. Gradient-based learning applied to document recognition
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers