Tim Baldwin

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Baldwin trusts overall

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

  1. Philipp Koehn
  2. Matt Post
  3. Chi-kiu (羅致翹) Lo
  4. Rand R. Wilcox
  5. Peter J. Rousseeuw
  6. Yvette Graham
  7. Ondrej Bojar
  8. Qingsong Ma
  9. C. Leys
  10. Qian Chen

Who trusts Tim Baldwin overall

  1. Ananya B. Sai
  2. Ricardo Rei
  3. Markus Freitag
  4. Nitika Mathur
  5. Esin Durmus
  6. Sachin Kumar
  7. Mikhail Evtikhiev
  8. Mingkai Deng
  9. Johnny Tian-Zheng Wei
  10. Tom Kocmi

Papers from Tim Baldwin's perspective

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

  1. Bleu: a Method for Automatic Evaluation of Machine Translation
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Long Short-Term Memory
  4. A Call for Clarity in Reporting BLEU Scores
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. A Study of Translation Edit Rate with Targeted Human Annotation
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Statistical Significance Tests for Machine Translation Evaluation
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers