Xialiang Dou
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #26,630 of 35,345 by trust here, #26,682 by citations
- Scaling & Learning Theory — 13 citations into it
- Model Architectures — 10 citations into it; #1,739 of 2,278 by trust here, #2,009 by citations
- Computational Mechanics — 8 citations into it
- Computer Vision and Pattern Recognition — 7 citations into it
- Statistical Learning Theory — 7 citations into it; #879 of 1,038 by trust here, #874 by citations
- Statistics and Probability — 6 citations into it
Whom Xialiang Dou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francis R. Bach
- Simon Shaolei Du
- Grant M. Rotskoff
- Trevor J. Hastie
- Song Mei
- Mikhail Belkin
- Andrea Montanari
- Yoshua Bengio
- Ali Rahimi
- Vladimir Naumovich Vapnik
Who trusts Xialiang Dou overall
Papers from Xialiang Dou's perspective
Ordered by how strongly the researchers Xialiang Dou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)