Gyda Bjornsdottir

Artificial Intelligence · 2008–2019

A researcher in the Science corpus: 13 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gyda Bjornsdottir trusts overall

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

  1. John Ashburner
  2. Sergey Ioffe
  3. Robert Tibshirani
  4. Kaiming He
  5. Bruce Fischl
  6. Alex Smola
  7. Hui Zou
  8. Yann LeCun
  9. Nelson Morgan
  10. Anders Krogh

Papers from Gyda Bjornsdottir's perspective

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

Their papers