Alexander Craik

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander Craik trusts overall

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

  1. Gert Pfurtscheller
  2. Abdulhamit Subasi
  3. Yousef Rezaei Tabar
  4. David Moher
  5. Ihsan Ullah
  6. Ralph G. Andrzejak
  7. Yoshua Bengio
  8. Sander Koelstra
  9. Christa Neuper
  10. Geoffrey E. Hinton

Who trusts Alexander Craik overall

  1. Hamdi Altaheri
  2. Xiang Li
  3. A. Shoeibi

Papers from Alexander Craik's perspective

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

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

Their papers