Claire Bonial

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Claire Bonial trusts overall

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

  1. Patrick Lewis
  2. Karin Kipper Schuler
  3. Pengfei Liu
  4. Martha Palmer

Who trusts Claire Bonial overall

  1. Jeffrey Flanigan
  2. Xiaoman Pan
  3. Leonardo F. R. Ribeiro
  4. Zhuang Li
  5. Gökhan Tür
  6. Aman Madaan
  7. Diego Marcheggiani
  8. Juri Opitz
  9. Sho Takase

Papers from Claire Bonial's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Bleu: a Method for Automatic Evaluation of Machine Translation
  4. Long Short-Term Memory
  5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Language Models as Knowledge Bases?

Their papers