Adriane Boyd
Artificial Intelligence · 2018
A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it; #9,726 of 35,345 by trust here, #32,362 by citations
- Natural Language Processing — 8 citations into it; #1,947 of 5,688 by trust here, #5,412 by citations
Whom Adriane Boyd trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hwee Tou Ng
- Daniel Dahlmeier
- Shamil Chollampatt
- Jennifer Foster
- Rico Sennrich
- Christopher Bryant
- Christian Buck
- Piotr Bojanowski
- Øistein E. Andersen
- Barry Haddow
Who trusts Adriane Boyd overall
- Max White
- Steven Y. Feng
- Adithya Pratapa
- Alla Rozovskaya
- Varun Prashant Gangal
- Antonios Anastasopoulos
- Yu Wang
- Jason Wei
- Shruti Rijhwani
Papers from Adriane Boyd's perspective
Ordered by how strongly the researchers Adriane Boyd trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- Using Wikipedia Edits in Low Resource Grammatical Error Correction (2018) — 78 citations