Nan Shao
Artificial Intelligence · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Natural Language Processing — 39 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Large Language Models — 18 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Nan Shao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhilin Yang
- Yoshua Bengio
- Yinhan Liu
- Geoffrey E. Hinton
- Ashish Vaswani
- Diederik P. Kingma
- E. Tjong Kim Sang
- Ilya Sutskever
- Minjoon Seo
- Alex Krizhevsky
Who trusts Nan Shao overall
Papers from Nan Shao's perspective
Ordered by how strongly the researchers Nan Shao 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)
- ImageNet classification with deep convolutional neural networks
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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
- ZeroPrompt: Scaling Prompt-Based Pretraining to 1, 000 Tasks Improves Zero-Shot Generalization (2022) — 76 citations
- Is Graph Structure Necessary for Multi-hop Question Answering? (2020) — 36 citations
- Is Graph Structure Necessary for Multi-hop Reasoning? (2020) — 17 citations