Lori Moon

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #29,829 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 21 citations into it; #4,863 of 5,688 by trust here, #5,092 by citations
• Evaluation & Benchmarks — 8 citations into it

Whom Lori Moon trusts overall

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

1. Matt Post

Who trusts Lori Moon overall

1. Sarah Wiegreffe

Papers from Lori Moon's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Language Models are Unsupervised Multitask Learners
3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. ImageNet classification with deep convolutional neural networks
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Gradient-based learning applied to document recognition

Their papers

• GLUCOSE: GeneraLized and COntextualized Story Explanations (2020) — 131 citations