Kendall Smith

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

• Artificial Intelligence — 24 citations into it
• Safety, Robustness & Interpretability — 19 citations into it
• Natural Language Processing — 14 citations into it

Whom Kendall Smith trusts overall

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

1. Hila Gonen

Papers from Kendall Smith's perspective

Ordered by how strongly the researchers Kendall Smith 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. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
5. Semantics derived automatically from language corpora contain human-like biases
6. Lipstick on a Pig: Debiasing Methods Cover up Systematic Gender Biases in Word Embeddings But do not Remove Them
7. Attention is All you Need (Neural Information Processing Systems)
8. Word embeddings quantify 100 years of gender and ethnic stereotypes
9. Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting
10. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification

Their papers

• Benchmarking Intersectional Biases in NLP (2022) — 56 citations