Leyu Lin
Artificial Intelligence · 2019–2023
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 96 citations into it; #29,855 of 35,345 by trust here, #20,377 by citations
Whom Leyu Lin trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
Who trusts Leyu Lin
- Chengwei Qin (in Artificial Intelligence)
- Shafiq R. Joty (in Artificial Intelligence)
Papers from Leyu Lin's perspective
Ordered by how strongly the researchers Leyu Lin trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Long Short-Term Memory
- Matching Networks for One Shot Learning
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Prototypical Networks for Few-shot Learning
Their papers
- Neural Snowball for Few-Shot Relation Learning (2019) — 85 citations
- Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach (2023) — 372 citations