Juan Diego Rodriguez
Artificial Intelligence · 2021
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 174 citations into it
Whom Juan Diego Rodriguez trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Juan Diego Rodriguez's perspective
Ordered by how strongly the researchers Juan Diego Rodriguez trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Language Models are Unsupervised Multitask Learners
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- A large annotated corpus for learning natural language inference
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Building a Large Annotated Corpus of English: The Penn Treebank
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Their papers
- The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics (2021) — 329 citations
- Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards (2021) — 58 citations
- NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (2021) — 104 citations