Yanming Shen
Artificial Intelligence · with Cai · 2021
A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 59 citations into it
- Graph Learning — 19 citations into it
- Materials Chemistry — 18 citations into it
- Representation & Self-Supervised Learning — 14 citations into it
- Statistical and Nonlinear Physics — 10 citations into it
Whom Yanming Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yanming Shen's perspective
Ordered by how strongly the researchers Yanming Shen 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)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
Their papers
- Do Transformers Really Perform Bad for Graph Representation? (2021) — 597 citations
- Do Transformers Really Perform Badly for Graph Representation? (2021) — 1,491 citations