Martin Volk

Natural Language Processing · with Läubli · 1998–2018

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Volk trusts overall

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

  1. Ondrej Bojar
  2. Ilya Sutskever
  3. Dzmitry Bahdanau
  4. Nal Kalchbrenner
  5. Yoshua Bengio
  6. Philipp Koehn

Who trusts Martin Volk overall

  1. Brian Thompson

Papers from Martin Volk's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet classification with deep convolutional neural networks
  8. Gradient-based learning applied to document recognition
  9. ImageNet: A large-scale hierarchical image database
  10. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Their papers