Nan Jiang
Artificial Intelligence · with Dong · 2023–2024
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it
- Reinforcement Learning — 21 citations into it
Whom Nan Jiang trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jacob Hilton (in Artificial Intelligence)
- Paul Christiano (in Artificial Intelligence)
- John Schulman (in Artificial Intelligence)
- Aadirupa Saha (in Reinforcement Learning)
Papers from Nan Jiang's perspective
Ordered by how strongly the researchers Nan Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Proximal Policy Optimization Algorithms (arXiv.org)
- GENERATIVE ADVERSARIAL NETS
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 5分で分かる!? 有名論文ナナメ読み：Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Training language models to follow instructions with human feedback (Neural Information Processing Systems)
- Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)