Shiyuan Guo
Optimization & Training · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 10 citations into it
Whom Shiyuan Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Shiyuan Guo's perspective
Ordered by how strongly the researchers Shiyuan Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- 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
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- ImageNet classification with deep convolutional neural networks
- XLNet: Generalized Autoregressive Pretraining for Language Understanding (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- One weird trick for parallelizing convolutional neural networks
- Training Deep Nets with Sublinear Memory Cost
Their papers
- TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models (2021) — 166 citations