Toju Duke
Artificial Intelligence · 2021–2022
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 — 284 citations into it
Whom Toju Duke trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Noam Shazeer (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
Papers from Toju Duke's perspective
Ordered by how strongly the researchers Toju Duke trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Language Models are Unsupervised Multitask Learners
- Neural Machine Translation of Rare Words with Subword Units
- GloVe: Global Vectors for Word Representation
- Bleu: a Method for Automatic Evaluation of Machine Translation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Efficient Estimation of Word Representations in Vector Space
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Improving Language Understanding by Generative Pre-Training
Their papers
- PaLM: Scaling Language Modeling with Pathways (2022) — 8,214 citations
- LaMDA: Language Models for Dialog Applications (2022) — 1,891 citations
- GLaM: Efficient Scaling of Language Models with Mixture-of-Experts (2021) — 1,261 citations