Amelia Glaese
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 8 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 382 citations into it
- Natural Language Processing — 219 citations into it
- Safety, Robustness & Interpretability — 194 citations into it
Whom Amelia Glaese trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Richard S. Sutton
- Yann LeCun
- Jimmy Ba
- Kaiming He
- Alex Graves
Who trusts Amelia Glaese overall
- Richard Ngo
- Harrison Lee
- Jiawen Deng
- Jiaming Ji
- Traian Rebedea
- Ganqu Cui
- Zhuangdi Zhu
- Kevin Clark
- Tomasz Korbak
- Yangsibo Huang
Papers from Amelia Glaese's perspective
Ordered by how strongly the researchers Amelia Glaese 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
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Scaling Language Models: Methods, Analysis & Insights from Training Gopher (2021) — 1,640 citations
- Improving alignment of dialogue agents via targeted human judgements (2022) — 676 citations
- Red Teaming Language Models with Language Models (2022) — 1,219 citations
- Taxonomy of Risks posed by Language Models (2022) — 1,066 citations
- Challenges in Detoxifying Language Models (2021) — 248 citations
- Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models (2022) — 69 citations
- Fine-tuning language models to find agreement among humans with diverse preferences (2022) — 336 citations
- AndroidEnv: A Reinforcement Learning Platform for Android (2021) — 108 citations