Richard Dufour

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Model Architectures — 6 citations into it

Whom Richard Dufour trusts

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

1. Tri Dao (in Model Architectures)
2. J. Platt (in Statistical Learning Theory)

Papers from Richard Dufour's perspective

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

1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
2. Language Models are Unsupervised Multitask Learners
3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
5. Decoupled Weight Decay Regularization
6. Attention is All you Need (Neural Information Processing Systems)
7. Measuring Massive Multitask Language Understanding
8. SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Longformer: The Long-Document Transformer

Their papers

• BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains (2024) — 514 citations