Marie Pellat

Artificial Intelligence · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marie Pellat trusts

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

  1. Noam Shazeer (in Artificial Intelligence)

Papers from Marie Pellat's perspective

Ordered by how strongly the researchers Marie Pellat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. GloVe: Global Vectors for Word Representation
  6. Generating Sequences With Recurrent Neural Networks
  7. Improving Language Understanding by Generative Pre-Training
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Efficient Estimation of Word Representations in Vector Space
  10. Bleu: a Method for Automatic Evaluation of Machine Translation

Their papers