Alan Joseph Bekker

2016

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Whom Alan Joseph Bekker trusts overall

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

  1. Volodymyr Mnih
  2. Yves Grandvalet
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Carla E. Brodley
  6. Alex Krizhevsky
  7. Benoît Frénay
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Radford M. Neal

Who trusts Alan Joseph Bekker overall

  1. Görkem Algan
  2. Zhiyuan Shi
  3. Jacob Goldberger
  4. Davood Karimi
  5. Tae-Kyun Kim
  6. Ilkay Ulusoy
  7. Ehud Ben-Reuven
  8. Haoran Dou
  9. Eran Malach
  10. Simon Keith Warfield

Papers from Alan Joseph Bekker's perspective

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

Their papers