Julia R. S. Bursten
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Safety, Robustness & Interpretability — 14 citations into it
- History and Philosophy of Science — 11 citations into it
Whom Julia R. S. Bursten trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Julia R. S. Bursten's perspective
Ordered by how strongly the researchers Julia R. S. Bursten trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)