Tulsee Doshi
Social Sciences & Humanities · 2019–2022
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Social Sciences & Humanities — 47 citations into it
- Information Systems — 37 citations into it
- Management Science and Operations Research — 17 citations into it
- Marketing — 7 citations into it
Whom Tulsee Doshi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tulsee Doshi overall
Papers from Tulsee Doshi's perspective
Ordered by how strongly the researchers Tulsee Doshi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Equality of Opportunity in Supervised Learning
- Fairness through awareness
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- LaMDA: Language Models for Dialog Applications (2022) — 1,891 citations
- Fairness in Recommendation Ranking through Pairwise Comparisons (2019) — 457 citations
- Re-imagining Algorithmic Fairness in India and Beyond (2021) — 269 citations
- Putting Fairness Principles into Practice: Challenges, Metrics, and Improvements (2019) — 176 citations