David W. Buchanan

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; #29,827 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 21 citations into it; #4,861 of 5,688 by trust here, #5,092 by citations
• Evaluation & Benchmarks — 8 citations into it

Whom David W. Buchanan trusts overall

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

1. Matt Post

Who trusts David W. Buchanan overall

1. Sarah Wiegreffe

Papers from David W. Buchanan's perspective

Ordered by how strongly the researchers David W. Buchanan 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. Long Short-Term Memory
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Hierarchical Neural Story Generation
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Their papers

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