Guillaume Cabanac

Information Systems · 2010–2021

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

Subfields

Whom Guillaume Cabanac trusts overall

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

  1. Justin Zobel
  2. Ellen M. Voorhees
  3. Pascal Massart
  4. Mark Sanderson
  5. Yinhan Liu
  6. Stephen E. Robertson
  7. J. Kiefer

Who trusts Guillaume Cabanac overall

  1. Jimmy J. Lin
  2. Peilin Yang
  3. Junaid Qadir

Papers from Guillaume Cabanac's perspective

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

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  3. Information retrieval system evaluation: effort, sensitivity, and reliability
  4. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  5. Variations in relevance judgments and the measurement of retrieval effectiveness
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Release Strategies and the Social Impacts of Language Models
  8. How reliable are the results of large-scale information retrieval experiments?
  9. ImageNet: A large-scale hierarchical image database
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers