Chunxiao Liu
Artificial Intelligence · with Lin · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #6,499 of 35,345 by trust here, #6,014 by citations
- Computer Vision and Pattern Recognition — 37 citations into it; #4,964 of 21,575 by trust here, #4,438 by citations
- Model Architectures — 15 citations into it
- Neural Architecture Search & AutoML — 14 citations into it; #46 of 283 by trust here, #35 by citations
- Optimization & Training — 8 citations into it
- Reinforcement Learning — 8 citations into it
Whom Chunxiao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Barret Zoph
- Geoffrey E. Hinton
- Alex Krizhevsky
- Ronald J. Williams
- Yoshua Bengio
- Diederik P. Kingma
- Karen Simonyan
- Quoc V. Le
- Kaiming He
- Ilya Sutskever
Who trusts Chunxiao Liu overall
- Xuanyi Dong
- Quanming Yao
- Hang Xu
- Arber Zela
- Jianlong Chang
- Miao Zhang
- Yao Shu
- Shaofeng Cai
- Shen Yan
- Xinbang Zhang
Papers from Chunxiao Liu's perspective
Ordered by how strongly the researchers Chunxiao Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SNAS: Stochastic Neural Architecture Search (2018) — 1,014 citations
- DSNAS: Direct Neural Architecture Search Without Parameter Retraining (2020) — 146 citations