Katherine A. Keith
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Natural Language Processing — 67 citations into it
- Causal Inference & Discovery — 36 citations into it
- Statistics and Probability — 31 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- General Social Sciences — 13 citations into it
- Sociology and Political Science — 13 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Katherine A. Keith trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Victor Veitch
- Guido W. Imbens
- Judea Pearl
- David M. Blei
- Geoffrey E. Hinton
- Yoshua Bengio
- Jeffrey Pennington
- Margaret E. Roberts
- Zach Wood-Doughty
Who trusts Katherine A. Keith overall
Papers from Katherine A. Keith's perspective
Ordered by how strongly the researchers Katherine A. Keith 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images