Laura K. Nelson

Natural Language Processing · 2020

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 7 citations into it
• Artificial Intelligence — 5 citations into it; #18,059 of 35,345 by trust here, #34,213 by citations

Whom Laura K. Nelson trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kathy Charmaz
2. Gerard A. Salton
3. Yla R. Tausczik
4. P. Bearman
5. Gary King
6. Marc Brysbaert
7. Justin Grimmer
8. Peter F. Brown
9. Geoffrey E. Hinton
10. James W. Pennebaker

Who trusts Laura K. Nelson overall

1. Timothy R. Hannigan
2. Richard F.J. Haans
3. Keyvan Vakili

Papers from Laura K. Nelson's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Computational Grounded Theory: A Methodological Framework (2020) — 577 citations