Xiaomin Song

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it

Whom Xiaomin Song trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Michael R. Chernick

Papers from Xiaomin Song's perspective

Ordered by how strongly the researchers Xiaomin Song trusts endorse each paper. Same corpus, a different order for every researcher.

1. Et al
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. WaveNet: A Generative Model for Raw Audio
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Time Series Data Augmentation for Deep Learning: A Survey (2020) — 844 citations