Matīss Rikters

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 48 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Matīss Rikters trusts overall

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

  1. Rico Sennrich
  2. Jindřich Helcl
  3. Dzmitry Bahdanau
  4. Guillaume Klein
  5. Kyunghyun Cho
  6. Yoshua Bengio
  7. Felix Hieber
  8. Marcin Junczys-Dowmunt
  9. Philipp Koehn
  10. Matthew D. Zeiler

Who trusts Matīss Rikters overall

  1. Yonatan Belinkov
  2. James R. Glass
  3. Felix Stahlberg

Papers from Matīss Rikters's perspective

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

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