Songyu Ke

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it

Whom Songyu Ke trusts overall

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

1. Jerome H. Friedman
2. Diederik P. Kingma
3. Daphne Koller
4. David E. Rumelhart
5. Junbo Zhang
6. Geoffrey E. Hinton
7. Jimmy Ba

Who trusts Songyu Ke overall

1. Senzhang Wang

Papers from Songyu Ke's perspective

Ordered by how strongly the researchers Songyu Ke 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Learning representations by back-propagating errors
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction (2018) — 527 citations