Lin Shengshuo
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #26,605 of 35,345 by trust here, #31,361 by citations
- Natural Language Processing — 19 citations into it; #4,372 of 5,688 by trust here, #5,296 by citations
- Large Language Models — 5 citations into it
Whom Lin Shengshuo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ann A. Copestake
- Alec Radford
- R. Thomas McCoy
- Jacob Devlin
- Adina Williams
- Di Jin
- Dan Flickinger
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Lin Shengshuo overall
Papers from Lin Shengshuo's perspective
Ordered by how strongly the researchers Lin Shengshuo 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Unsupervised Multitask Learners
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)