Yan Xiao
Artificial Intelligence · with Xu · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #14,388 of 35,345 by trust here, #16,471 by citations
- Scaling & Learning Theory — 23 citations into it; #204 of 428 by trust here, #282 by citations
- Optimization & Training — 10 citations into it; #1,381 of 2,601 by trust here, #1,488 by citations
- Computer Vision and Pattern Recognition — 7 citations into it
- Safety, Robustness & Interpretability — 6 citations into it
Whom Yan Xiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhi-Qin John Xu
- Diederik P. Kingma
- Yoshua Bengio
- Jimmy Ba
- Yann LeCun
- Geoffrey E. Hinton
- Ravid Shwartz-Ziv
- Lei Wu
- Alex Krizhevsky
- Peter L. Bartlett
Who trusts Yan Xiao overall
Papers from Yan Xiao's perspective
Ordered by how strongly the researchers Yan Xiao trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
Their papers
- Training behavior of deep neural network in frequency domain (2018) — 413 citations
- Frequency Principle: Fourier Analysis Sheds Light on Deep Neural Networks (2019) — 776 citations