Morten Kolbæk

Signal Processing · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Morten Kolbæk trusts overall

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

  1. Paris Smaragdis
  2. Michael I. Jordanzoubin
  3. Yann LeCun
  4. Dong Yu
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. John R. Hershey
  8. Emmanuel Vincent
  9. Yuxuan Wang
  10. Li Deng

Who trusts Morten Kolbæk overall

  1. Zhuo Chen
  2. Shota Horiguchi
  3. Ruohan Gao
  4. Yusuke Fujita
  5. Dong Yu
  6. Zhong-Qiu Wang
  7. Sanyuan Chen
  8. Jinyu Li
  9. Yi Luo
  10. Shinji Watanabe

Papers from Morten Kolbæk's perspective

Ordered by how strongly the researchers Morten Kolbæk 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers