Toms Miks

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Toms Miks trusts overall

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

  1. Rico Sennrich
  2. Matt Post
  3. Christopher D. Manning
  4. Philipp Koehn
  5. Michael J. Denkowski
  6. Barry Haddow
  7. Daniel Klein
  8. Alexandra Birch

Papers from Toms Miks's perspective

Ordered by how strongly the researchers Toms Miks 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Bleu: a Method for Automatic Evaluation of Machine Translation
  6. Neural Machine Translation of Rare Words with Subword Units
  7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. ImageNet classification with deep convolutional neural networks
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers