S. Viguier

Artificial Intelligence · 2022

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 S. Viguier trusts overall

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

  1. Lasse F. Wolff Anthony
  2. Alexandre Lacoste
  3. David A. Patterson

Who trusts S. Viguier overall

  1. Yanis Labrak

Papers from S. Viguier's perspective

Ordered by how strongly the researchers S. Viguier 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. Energy and Policy Considerations for Deep Learning in NLP
  4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  5. Language Models are Unsupervised Multitask Learners
  6. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  7. Generating Sequences With Recurrent Neural Networks
  8. Improving Language Understanding by Generative Pre-Training
  9. Quantifying the Carbon Emissions of Machine Learning
  10. Recurrent neural network based language model

Their papers