Yanbo Gao

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Computer Vision and Pattern Recognition — 28 citations into it
• Model Architectures — 28 citations into it
• Natural Language Processing — 10 citations into it
• Optimization & Training — 10 citations into it

Whom Yanbo Gao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sepp Hochreiter
5. Kaiming He
6. Alex Krizhevsky
7. Quoc V. Le
8. Yann LeCun
9. J. Urgen Schmidhuber
10. Tomas Mikolov

Papers from Yanbo Gao's perspective

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

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

Their papers

• Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN (2018) — 824 citations