Sam Corbett-Davies
Sociology and Political Science · 2015–2022
A researcher in the Science corpus: 10 papers; trusts 190 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 64 citations into it; #11,663 of 22,756 by trust here, #8,704 by citations
- Artificial Intelligence — 63 citations into it
- Safety, Robustness & Interpretability — 49 citations into it; #559 of 2,251 by trust here, #799 by citations
- AI Ethics, Fairness & Society — 40 citations into it; #119 of 494 by trust here, #26 by citations
- Safety Research — 35 citations into it; #4,434 of 5,829 by trust here, #4,580 by citations
- Statistics and Probability — 30 citations into it; #8,786 of 12,932 by trust here, #4,964 by citations
- Political Science and International Relations — 27 citations into it
- Computer Vision and Pattern Recognition — 25 citations into it
Whom Sam Corbett-Davies trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard A. Berk
- Andrew Gelman
- Emma Pierson
- Sharad Goel
- Moritz Hardt
- Faisal Kamiran
- Alexandra Chouldechova
- Radford M. Neal
- Muhammad Bilal Zafar
- Toon Calders
Who trusts Sam Corbett-Davies overall
- Harini Suresh
- Dana Pessach
- Jon M. Kleinberg
- Shira Mitchell
- Sharad Goel
- Jongbin Jung
- Songül Tolan
- John V. Guttag
- Dena F. Mujtaba
- Emma Pierson
Papers from Sam Corbett-Davies's perspective
Ordered by how strongly the researchers Sam Corbett-Davies trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Enriching object detection with 2D-3D registration and continuous viewpoint estimation (2015) — 43 citations
- The Problem of Infra-marginality in Outcome Tests for Discrimination (2016) — 196 citations
- A large-scale analysis of racial disparities in police stops across the United States (2020) — 449 citations
- Adaptive Sampling Strategies to Construct Equitable Training Datasets (2022) — 34 citations
- Defining and Designing Fair Algorithms (2018) — 8 citations
- The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning (2018) — 907 citations
- The Measure and Mismeasure of Fairness (2018) — 229 citations
- Fast Threshold Tests for Detecting Discrimination (2017) — 53 citations
- The Problem of Infra-marginality in Outcome Tests for Discrimination (2017)
- Algorithmic Decision Making and the Cost of Fairness (2017) — 1,410 citations