Josef Dai

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it
• Large Language Models — 14 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Health Informatics — 6 citations into it

Whom Josef Dai trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Iason Gabriel
2. Paul Christiano
3. Jiaming Ji
4. Geoffrey Irving
5. Tuomas Haarnoja
6. Yinlam Chow
7. Tom B. Brown
8. Colin Raffel
9. Geoffrey E. Hinton
10. Yuntao Bai

Who trusts Josef Dai overall

1. Youliang Yuan
2. Nathan Lambert
3. Seungju Han

Papers from Josef Dai's perspective

Ordered by how strongly the researchers Josef Dai trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Language Models are Few-Shot Learners (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Safe RLHF: Safe Reinforcement Learning from Human Feedback (2023) — 750 citations