Amalie Trewartha

Journal of Chemical Information and Modeling · 2019

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Amalie Trewartha's perspective

Ordered by how strongly the researchers Amalie Trewartha trusts endorse each paper. Same corpus, a different order for every researcher.

1. I and J
2. Applied Logistic Regression (Technometrics)
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
6. Long Short-Term Memory
7. ImageNet classification with deep convolutional neural networks
8. Learning Multiple Layers of Features from Tiny Images
9. Efficient Estimation of Word Representations in Vector Space
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Named Entity Recognition and Normalization Applied to Large-Scale Information Extraction from the Materials Science Literature (2019) — 297 citations