Harald Bayerlein

Electrical and Electronic Engineering · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Harald Bayerlein trusts overall

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

  1. Yong Zeng
  2. Longxin Lin
  3. Vinod Nair
  4. Rui Zhang
  5. Tim O'Shea
  6. Qingqing Wu
  7. Kurt Hornik
  8. Paul de Kerret
  9. Volodymyr Mnih
  10. Geoffrey E. Hinton

Papers from Harald Bayerlein's perspective

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

  1. Rectified Linear Units Improve Restricted Boltzmann Machines
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Human-level control through deep reinforcement learning
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers