Hans Moen

Natural Language Processing · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hans Moen trusts overall

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

  1. Richard Socher
  2. Ronan Collobert
  3. Geoffrey E. Hinton
  4. Andriy Mnih
  5. Tomas Mikolov
  6. Yoshua Bengio

Who trusts Hans Moen overall

  1. Ye Zhang
  2. Zhiyong Lu

Papers from Hans Moen's perspective

Ordered by how strongly the researchers Hans Moen 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. Attention is All you Need (Neural Information Processing Systems)
  4. Efficient Estimation of Word Representations in Vector Space
  5. Gradient-based learning applied to document recognition
  6. A unified architecture for natural language processing: deep neural networks with multitask learning
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers