Rosie Sallis
Natural Language Processing · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 49 citations into it; #5,078 of 5,688 by trust here, #4,682 by citations
- Artificial Intelligence — 46 citations into it; #31,570 of 35,345 by trust here, #25,809 by citations
- Safety, Robustness & Interpretability — 24 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Rosie Sallis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matt Post
- Danielle Saunders
- Ashish Vaswani
- Rico Sennrich
- Yoshua Bengio
- Geoffrey E. Hinton
- Bill Byrne
- Yinhan Liu
- Chris Dyer
- Diederik P. Kingma
Who trusts Rosie Sallis overall
Papers from Rosie Sallis's perspective
Ordered by how strongly the researchers Rosie Sallis trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Neural Machine Translation Doesn’t Translate Gender Coreference Right Unless You Make It (2020) — 69 citations
- First the Worst: Finding Better Gender Translations During Beam Search (2021) — 38 citations