R. Shelby
with Li · 2022–2023
A researcher in the Science corpus: 3 papers; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom R. Shelby trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- H. Arksey
- Virginia Braun
- Inioluwa Deborah Raji
- A. Liberati
- D. Levac
- Andrea C. Tricco
- Victoria Clarke
- L. O’Malley
- Nadia Karizat
- Anna Lauren Hoffmann
Who trusts R. Shelby overall
Papers from R. Shelby's perspective
Ordered by how strongly the researchers R. Shelby trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification
- Learning Multiple Layers of Features from Tiny Images
Their papers
- PaLM 2 Technical Report (2023) — 1,524 citations
- Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction (2022) — 390 citations
- Sociotechnical Harms: Scoping a Taxonomy for Harm Reduction (2022) — 35 citations