Egill Hauksson

Artificial Intelligence · 2005–2018

A researcher in the Science corpus: 4 papers; trusts 23 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Egill Hauksson trusts overall

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

  1. Diederik P. Kingma
  2. Sergey Ioffe
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Yann LeCun
  6. T. Perol
  7. Jimmy Ba
  8. Alex Krizhevsky
  9. Vinod Nair
  10. Yoshua Bengio

Who trusts Egill Hauksson overall

  1. S. M. Mousavi
  2. G. Prieto
  3. Gregory C. Beroza
  4. D. Schaff
  5. Weiqiang Zhu
  6. Jesse F. Lawrence
  7. Qingkai Kong
  8. Zachary E. Ross
  9. Phil Richards

Papers from Egill Hauksson's perspective

Ordered by how strongly the researchers Egill Hauksson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Going deeper with convolutions
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet: A large-scale hierarchical image database

Their papers