Mikhail Yurochkin

Artificial Intelligence · with Baldini · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Safety, Robustness & Interpretability — 23 citations into it
• Safety Research — 11 citations into it

Whom Mikhail Yurochkin trusts overall

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

1. George M. Garrity

Papers from Mikhail Yurochkin's perspective

Ordered by how strongly the researchers Mikhail Yurochkin 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 Unsupervised Multitask Learners
3. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
4. Attention is All you Need (Neural Information Processing Systems)
5. GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
6. Equality of Opportunity in Supervised Learning
7. Fairness through awareness
8. Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
9. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Your fairness may vary: Pretrained language model fairness in toxic text classification (2021) — 61 citations