Werner Geyer

Artificial Intelligence · 2008–2024

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Werner Geyer trusts overall

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

  1. Thomas Hofmann
  2. Gerard A. Salton
  3. Raymond J. Mooney
  4. Joan Morris DiMicco
  5. Jonathan L. Herlocker

Who trusts Werner Geyer overall

  1. Paul M. Leonardi
  2. Jilin Chen
  3. Jeffrey William Treem

Papers from Werner Geyer's perspective

Ordered by how strongly the researchers Werner Geyer 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. Language Models are Unsupervised Multitask Learners
  4. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  5. Improving Language Understanding by Generative Pre-Training
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. Scikit-learn: Machine Learning in Python
  8. The Strength of Weak Ties
  9. Indexing by Latent Semantic Analysis
  10. A face(book) in the crowd: social Searching vs. social browsing

Their papers