Fahui Miao

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Fahui Miao trusts

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

  1. Partha Pratim Ray (in Health Informatics)
  2. Kaiming He (in Artificial Intelligence)
  3. Yejin Choi (in Artificial Intelligence)
  4. Ilya Sutskever (in Artificial Intelligence)

Papers from Fahui Miao's perspective

Ordered by how strongly the researchers Fahui Miao 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. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  3. Language Models are Unsupervised Multitask Learners
  4. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  5. Improving Language Understanding by Generative Pre-Training
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. WordNet: A Lexical Database for English

Their papers