Shenggui Li
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
- Efficiency & Compression — 12 citations into it
- Optimization & Training — 8 citations into it
Whom Shenggui Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shenggui Li's perspective
Ordered by how strongly the researchers Shenggui Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Long Short-Term Memory
- Large Scale Distributed Deep Networks
- Gradient-based learning applied to document recognition
Their papers
- Parallel Training of Pre-Trained Models via Chunk-Based Dynamic Memory Management (2021) — 48 citations