Kaj Bostrom
Natural Language Processing · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 94 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 73 citations into it; #4,818 of 5,688 by trust here, #3,897 by citations
- Artificial Intelligence — 72 citations into it; #29,580 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 29 citations into it
- Evaluation & Benchmarks — 19 citations into it
- Large Language Models — 16 citations into it
- Prompting & Reasoning — 16 citations into it
Whom Kaj Bostrom trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Taku Kudo
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alec Radford
- Yann LeCun
- Kaiming He
- Alex Graves
Who trusts Kaj Bostrom overall
- Antonia Creswell
- Jiayang Wu
- Jiacheng Liu
- Andrew Jaegle
- Murray Shanahan
- Sean Welleck
- Wensheng Gan
- Sebastian Ruder
- Zayne Sprague
Papers from Kaj Bostrom's perspective
Ordered by how strongly the researchers Kaj Bostrom trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Byte Pair Encoding is Suboptimal for Language Model Pretraining (2020) — 317 citations
- Flexible Generation of Natural Language Deductions (2021) — 38 citations
- Natural Language Deduction through Search over Statement Compositions (2022) — 52 citations