Jun Yin

Natural Language Processing · with Li · 2015

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Natural Language Processing — 16 citations into it; #5,196 of 5,688 by trust here, #3,421 by citations
• Artificial Intelligence — 15 citations into it; #32,311 of 35,345 by trust here, #16,771 by citations

Whom Jun Yin trusts overall

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

1. Oriol Vinyals
2. Ilya Sutskever
3. Yoshua Bengio
4. Kyunghyun Cho
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Antoine Bordes
8. Quoc V. Le
9. Jason Aaron Edward Weston
10. Diederik P. Kingma

Who trusts Jun Yin overall

1. Sudha Rao
2. Bhuwan Dhingra
3. Ruobing Xie
4. Lili Mou
5. Duyu Tang
6. Hongshen Chen
7. Hao Zhu
8. Alexandros Papangelis
9. Pin Gao
10. Ganbin Zhou

Papers from Jun Yin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Neural Generative Question Answering (2015) — 218 citations