Yuan Gao

Artificial Intelligence · with Sun · 2017

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Natural Language Processing — 24 citations into it
• Computer Vision and Pattern Recognition — 18 citations into it
• Model Architectures — 13 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Yuan Gao trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Geoffrey E. Hinton
4. Paul Smolensky
5. Yoon Kim
6. Kunihiko Fukushima
7. Susan T. Dumais
8. Alex Graves
9. Ilya Sutskever
10. Liam Paninski

Papers from Yuan Gao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
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. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
9. ImageNet: A large-scale hierarchical image database
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Text feature extraction based on deep learning: a review (2017) — 333 citations