Christina Wadsworth

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #22,844 of 35,345 by trust here, #27,551 by citations
• Safety Research — 6 citations into it; #2,983 of 5,829 by trust here, #4,191 by citations

Whom Christina Wadsworth trusts overall

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

1. Moritz Hardt
2. Brian Hu Zhang
3. Alex Beutel
4. Yaroslav Ganin
5. Eric Price
6. Blake Lemoine
7. Jilin Chen
8. Alexandra Chouldechova
9. Nati Srebro

Who trusts Christina Wadsworth overall

1. Dana Pessach
2. Erez Shmueli
3. Eduardo Almeida Soares
4. Simon Caton

Papers from Christina Wadsworth's perspective

Ordered by how strongly the researchers Christina Wadsworth trusts endorse each paper. Same corpus, a different order for every researcher.

1. Equality of Opportunity in Supervised Learning
2. Inherent Trade-Offs in the Fair Determination of Risk Scores
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Algorithmic Decision Making and the Cost of Fairness
5. ImageNet classification with deep convolutional neural networks
6. Domain-Adversarial Training of Neural Networks
7. Gradient-based learning applied to document recognition
8. Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
9. ImageNet: A large-scale hierarchical image database
10. Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations

Their papers

• Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction (2018) — 197 citations