Simon Baumgartner

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Simon Baumgartner trusts

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

  1. Noam Shazeer (in Artificial Intelligence)
  2. Taku Kudo (in Artificial Intelligence)

Papers from Simon Baumgartner's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Generating Sequences With Recurrent Neural Networks
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. Deep Contextualized Word Representations (North American Chapter of the Association for Computational Linguistics)
  7. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
  8. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  9. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
  10. Exploring the Limits of Language Modeling

Their papers