Yan Shen
Artificial Intelligence · with Wang · 2022
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
Whom Yan Shen trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chelsea Finn (in Artificial Intelligence)
- Sergey Levine (in Artificial Intelligence)
Papers from Yan Shen's perspective
Ordered by how strongly the researchers Yan Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Matching Networks for One Shot Learning
- 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
- Evolutionary principles in self-referential learning, or on learning how to learn: The meta-meta-. hook
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Meta-learning without data via Wasserstein distributionally-robust model fusion (2022) — 24 citations