Os Keyes
Sociology and Political Science · 2018–2021
A researcher in the Science corpus: 5 papers; trusts 17 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Sociology and Political Science — 22 citations into it; #4,326 of 22,756 by trust here, #10,424 by citations
- Human-Computer Interaction — 16 citations into it; #400 of 2,253 by trust here, #1,011 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Safety Research — 10 citations into it
- Safety, Robustness & Interpretability — 10 citations into it
- Social Sciences & Humanities — 10 citations into it
- AI Ethics, Fairness & Society — 9 citations into it; #116 of 494 by trust here, #338 by citations
- Social Psychology — 8 citations into it
Whom Os Keyes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mei Ngan
- Shaowen Bardzell
- Meng Yang
- Patrick Grother
- Kevin A. McLemore
- K. Seelman
- B. Risman
- Y. G. Ansara
- Alexandra L’Heureux
- Lei Zhang
Who trusts Os Keyes overall
- Nenad Tomašev
- Cynthia L. Bennett
- Shakir Mohamed
- Josephine Hoy
- Morgan Klaus Scheuerman
- Kevin R. McKee
- Yang Trista Cao
- Margaret Drouhard
- Jackie Kay
- Deirdre K. Mulligan
Papers from Os Keyes's perspective
Ordered by how strongly the researchers Os Keyes trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- The Misgendering Machines (2018) — 293 citations
- Human-Computer Insurrection: Notes on an Anarchist HCI (2019) — 119 citations
- Patching Gender: Non-binary Utopias in HCI (2019) — 91 citations
- Truth from the machine: artificial intelligence and the materialization of identity (2021)
- What is the point of fairness? (2019) — 78 citations