Sheng-syun Shen

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Natural Language Processing — 10 citations into it
• Model Architectures — 5 citations into it

Whom Sheng-syun Shen trusts overall

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

1. Jason Aaron Edward Weston
2. Yoshua Bengio
3. Michael I. Jordan
4. João Pedro Carlos Gomes da Silva
5. Jan Chorowski
6. Dzmitry Bahdanau
7. Geoffrey E. Hinton
8. Yin-Wen Chang
9. J. Urgen Schmidhuber
10. Sepp Hochreiter

Who trusts Sheng-syun Shen overall

1. Daniel Zoran

Papers from Sheng-syun Shen's perspective

Ordered by how strongly the researchers Sheng-syun Shen trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection (2016) — 71 citations