Nicole Forsgren

Artificial Intelligence · 2022

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

Whom Nicole Forsgren trusts

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

  1. Yoav Goldberg (in Artificial Intelligence)
  2. Hila Gonen (in Artificial Intelligence)

Papers from Nicole Forsgren's perspective

Ordered by how strongly the researchers Nicole Forsgren 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. GloVe: Global Vectors for Word Representation
  3. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  4. Semantics derived automatically from language corpora contain human-like biases
  5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  6. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
  7. Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
  8. Word embeddings quantify 100 years of gender and ethnic stereotypes
  9. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
  10. On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜

Their papers