Petr Motlícek

Artificial Intelligence · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 43 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Petr Motlícek trusts overall

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

  1. Matt Post
  2. Geoffrey E. Hinton
  3. Rico Sennrich
  4. Yoshua Bengio
  5. Abdel-rahman Mohamed
  6. Alexander M. Rush
  7. Romain Paulus
  8. Abigail See
  9. Diederik P. Kingma
  10. Philipp Koehn

Who trusts Petr Motlícek overall

  1. Mirco Ravanelli
  2. Daniel Povey
  3. Shinji Watanabe
  4. Michael A. Hedderich
  5. William Chan
  6. Yu Zhang
  7. Andros Tjandra
  8. James R. Glass
  9. Wei-Ning Hsu
  10. David Snyder

Papers from Petr Motlícek's perspective

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

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

Their papers