Songtao Lu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Optimization & Training — 5 citations into it

Whom Songtao Lu trusts overall

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

1. Diederik P. Kingma
2. Joaquin Vanschoren
3. Sergey Ioffe

Papers from Songtao Lu's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. Et al
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Matching Networks for One Shot Learning
7. Deep Learning
8. Gradient-based learning applied to document recognition
9. ImageNet: A large-scale hierarchical image database
10. Automatic differentiation in PyTorch

Their papers

• Online Meta-Learning on Non-convex Setting (2019) — 5 citations