Peter-Lucas Jones
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Natural Language Processing — 12 citations into it
Whom Peter-Lucas Jones trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Tomas Mikolov (in Artificial Intelligence)
- Yoon Kim (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Armand Joulin (in Artificial Intelligence)
- Edouard Grave (in Artificial Intelligence)
- Piotr Bojanowski (in Artificial Intelligence)
Papers from Peter-Lucas Jones's perspective
Ordered by how strongly the researchers Peter-Lucas Jones trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Dropout: a simple way to prevent neural networks from overfitting
- Efficient Estimation of Word Representations in Vector Space
- Understanding deep learning requires rethinking generalization
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Bag of Tricks for Efficient Text Classification
Their papers
- Language Models for Code-switch Detection of te reo Māori and English in a Low-resource Setting (2022) — 11 citations
- Indigenous Protocol and Artificial Intelligence Position Paper (2020) — 104 citations