Jie Fu

Artificial Intelligence · with Chan · 2023

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 Jie Fu trusts

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

  1. Chin-Yew Lin (in Natural Language Processing)
  2. Chris Callison-Burch (in Artificial Intelligence)
  3. Grzegorz Kondrak (in Artificial Intelligence)

Papers from Jie Fu's perspective

Ordered by how strongly the researchers Jie Fu 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. Bleu: a Method for Automatic Evaluation of Machine Translation
  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. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ROUGE: A Package for Automatic Evaluation of Summaries
  10. ImageNet classification with deep convolutional neural networks

Their papers