Martin Riedl

Natural Language Processing · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Riedl trusts overall

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

  1. Michael Collins
  2. Dekang Lin
  3. Marti A. Hearst
  4. Walter Kintsch
  5. Marco Baroni
  6. James Richard Curran
  7. Peter D. Turney
  8. Hinrich Schütze
  9. Jordan L. Boyd-Graber
  10. Ted Pedersen

Who trusts Martin Riedl overall

  1. Chris Biemann
  2. Alexander Panchenko
  3. Oren Melamud
  4. Stefano Faralli
  5. Omer Levy
  6. Sarah Kohail
  7. Ido Dagan
  8. Maria Pelevina
  9. Lea Frermann
  10. Simone Paolo Ponzetto

Papers from Martin Riedl's perspective

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

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers