Roy Wedge
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #26,309 of 35,345 by trust here, #32,362 by citations
Whom Roy Wedge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Roy Wedge overall
Papers from Roy Wedge's perspective
Ordered by how strongly the researchers Roy Wedge trusts endorse each paper. Same corpus, a different order for every researcher.
- Microsoft COCO: Common Objects in Context
- Latent Dirichlet Allocation
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Γ and B
- Long Short-Term Memory
Their papers
- The Synthetic Data Vault (2016) — 748 citations
- FeatureHub: Towards Collaborative Data Science (2017) — 20 citations