Martin Zaefferer

Artificial Intelligence · 2014–2019

A researcher in the Science corpus: 6 papers; trusts 42 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Zaefferer trusts overall

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

  1. Yaochu Jin
  2. Donald R. Jones
  3. Frank Hutter
  4. Thomas Bartz-Beielstein
  5. Julian Francis Miller
  6. Alberto Moraglio
  7. Yuhai Wu
  8. Jonas Mockus
  9. Jack P. C. Kleijnen
  10. Andrew James Turner

Who trusts Martin Zaefferer overall

  1. Jörg Stork
  2. Handing Wang
  3. Thomas Bartz-Beielstein
  4. Yaochu Jin
  5. Changwu Huang
  6. Yanan Sun

Papers from Martin Zaefferer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Efficient Global Optimization of Expensive Black-Box Functions
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Random Forests
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers