Andreas Hüwel

Signal Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Andreas Hüwel trusts overall

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

  1. Karol J. Piczak
  2. Diederik P. Kingma
  3. Jon Barker
  4. Tao Li
  5. Emmanuel Vincent
  6. Sashank J. Reddi
  7. Jimmy Ba
  8. Shinji Watanabe
  9. George Tzanetakis
  10. Annamaria Mesaros

Papers from Andreas Hüwel's perspective

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

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

Their papers