Kyle Yingkai Gao

2018

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

Whom Kyle Yingkai Gao trusts overall

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

1. Sepp Hochreiter
2. Antoine Bordes
3. Yoshihiro Yamanishi
4. Hao Ding
5. J. Urgen Schmidhuber
6. Ming Wen
7. Jason Aaron Edward Weston
8. Yoshua Bengio
9. Ronan Collobert

Who trusts Kyle Yingkai Gao overall

1. Mostafa Karimi
2. Shuangjia Zheng
3. Hannes Stärk
4. Mengying Sun
5. Thomas Gaudelet

Papers from Kyle Yingkai Gao's perspective

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

1. Long Short-Term Memory
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Et al
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Interpretable Drug Target Prediction Using Deep Neural Representation (2018) — 254 citations