K. Diedrick

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 23 citations into it
• Natural Language Processing — 16 citations into it

Whom K. Diedrick trusts overall

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

1. Mihir Kale

Papers from K. Diedrick's perspective

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

1. Bleu: a Method for Automatic Evaluation of Machine Translation
2. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
3. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
4. Attention is All you Need (Neural Information Processing Systems)
5. Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
6. Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
7. Text-to-Text Pre-Training for Data-to-Text Tasks
8. Long Short-Term Memory
9. Neural data-to-text generation: A comparison between pipeline and end-to-end architectures
10. Deep Graph Convolutional Encoders for Structured Data to Text Generation

Their papers

• Improving Text-to-Text Pre-trained Models for the Graph-to-Text Task (2020)