Willie Boag
Artificial Intelligence · 2019
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it; #33,711 of 35,345 by trust here, #7,728 by citations
- Computer Vision and Pattern Recognition — 32 citations into it
- Natural Language Processing — 23 citations into it; #5,403 of 5,688 by trust here, #1,910 by citations
- Evaluation & Benchmarks — 13 citations into it
- Molecular Biology — 12 citations into it
- Medical & Health AI — 6 citations into it
Whom Willie Boag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Sepp Hochreiter
- Ilya Sutskever
- Alex Krizhevsky
- Jimmy Ba
- Alex Graves
- Oriol Vinyals
- Kaiming He
Who trusts Willie Boag overall
Papers from Willie Boag's perspective
Ordered by how strongly the researchers Willie Boag trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Going deeper with convolutions
Their papers
- Publicly Available Clinical BERT Embeddings (2019) — 2,728 citations
- Clinically Accurate Chest X-Ray Report Generation (2019) — 353 citations
- Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks (2019) — 131 citations