Martin Popel

Artificial Intelligence · 2010–2020

A researcher in the Science corpus: 15 papers; trusts 73 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Popel trusts overall

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

  1. Philipp Koehn
  2. Noam Shazeer
  3. Rico Sennrich
  4. Ilya Sutskever
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Ondrej Bojar
  8. Geoffrey E. Hinton
  9. Kyunghyun Cho
  10. Ashish Vaswani

Who trusts Martin Popel overall

  1. Ondrej Bojar
  2. Ondrej Dusek
  3. Felix Stahlberg
  4. Rudolf Rosa
  5. David Marecek
  6. Ales Tamchyna
  7. Michal Novák
  8. Filip Jurcícek
  9. Roman Sudarikov
  10. Christian Federmann

Papers from Martin Popel's perspective

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

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

Their papers