Pin Gao

Artificial Intelligence · with Li · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it
• Natural Language Processing — 11 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Model Architectures — 8 citations into it

Whom Pin Gao trusts overall

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

1. Richard Socher
2. Ilya Sutskever
3. Oriol Vinyals
4. Yoshua Bengio
5. Dzmitry Bahdanau
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Diederik P. Kingma
9. Alex Graves
10. Yann LeCun

Who trusts Pin Gao overall

1. Jiarui Fang
2. Amey Agrawal
3. Gyeong-In Yu
4. Yang Yu

Papers from Pin Gao's perspective

Ordered by how strongly the researchers Pin Gao 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. Long Short-Term Memory
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Low latency RNN inference with cellular batching (2018) — 103 citations