Parker Barnes

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Parker Barnes trusts overall

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

  1. Nitin Kohli
  2. Brent Daniel Mittelstadt
  3. Nicholas A. Diakopoulos
  4. Maranke Wieringa
  5. Emily M. Bender
  6. Batya Friedman

Who trusts Parker Barnes overall

  1. Daniel S. Schiff
  2. Irene Solaiman
  3. Inioluwa Deborah Raji

Papers from Parker Barnes's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  6. Language Models are Unsupervised Multitask Learners
  7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  8. Deep Learning Face Attributes in the Wild
  9. Bleu: a Method for Automatic Evaluation of Machine Translation
  10. Improving Language Understanding by Generative Pre-Training

Their papers