Chong Ruan

Artificial Intelligence · 2024–2025

A researcher in the Science corpus: 12 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chong Ruan trusts

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

  1. Noam Shazeer (in Artificial Intelligence)
  2. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  3. Kaiming He (in Computer Vision and Pattern Recognition)

Papers from Chong Ruan's perspective

Ordered by how strongly the researchers Chong Ruan 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 Few-Shot Learners (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
  5. Neural Machine Translation of Rare Words with Subword Units
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. Scaling Laws for Neural Language Models (arXiv.org)
  8. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
  9. Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
  10. Microsoft COCO Captions: Data Collection and Evaluation Server

Their papers