Yu Hou

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Hou trusts

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

  1. Kai-Wei Chang (in Artificial Intelligence)
  2. Noah A. Smith (in Artificial Intelligence)
  3. Hal Daumé Iii (in Artificial Intelligence)
  4. Luke S. Zettlemoyer (in Artificial Intelligence)
  5. Hanna M. Wallach (in Artificial Intelligence)

Papers from Yu Hou's perspective

Ordered by how strongly the researchers Yu Hou 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. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  3. Attention is All you Need (Neural Information Processing Systems)
  4. Gender Bias in Coreference Resolution
  5. Semantics derived automatically from language corpora contain human-like biases
  6. Language (Technology) is Power: A Critical Survey of “Bias” in NLP
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜
  9. The Woman Worked as a Babysitter: On Biases in Language Generation
  10. Datasheets for datasets

Their papers