Mirko Hannemann

Artificial Intelligence · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 19 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom Mirko Hannemann trusts overall

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

  1. Brian Kingsbury
  2. Geoffrey E. Hinton
  3. Mark John Francis Gales
  4. David Talkin
  5. Dong Yu
  6. Abdel-rahman Mohamed
  7. Tara N. Sainath
  8. Hervé Bourlard
  9. Frank Torsten Bernd Seide
  10. Matthew Gibson

Who trusts Mirko Hannemann overall

  1. Vimal Manohar
  2. Daniel Povey
  3. Mirco Ravanelli
  4. Li Deng
  5. Shinji Watanabe
  6. Shaoshi Ling
  7. Alexei Baevski
  8. Dong Yu
  9. Karel Veselý
  10. William Chan

Papers from Mirko Hannemann's perspective

Ordered by how strongly the researchers Mirko Hannemann 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. A Fast Learning Algorithm for Deep Belief Nets
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers