Xiaoyuan Liu
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 60 citations into it
- Natural Language Processing — 32 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Reinforcement Learning — 14 citations into it
- Safety, Robustness & Interpretability — 13 citations into it
Whom Xiaoyuan Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dan Hendrycks
- Richard S. Sutton
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Radford M. Neal
- Alex Krizhevsky
- Ilya Sutskever
- Kaiming He
- Yann LeCun
Who trusts Xiaoyuan Liu overall
Papers from Xiaoyuan Liu's perspective
Ordered by how strongly the researchers Xiaoyuan Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Pretrained Transformers Improve Out-of-Distribution Robustness (2020) — 492 citations
- Distributed Structured Actor-Critic Reinforcement Learning for Universal Dialogue Management (2020) — 22 citations