Guang Yang

Artificial Intelligence · with Gross · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #17,647 of 35,345 by trust here, #27,551 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #11,099 of 21,575 by trust here, #17,757 by citations

Whom Guang Yang trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Graves
6. Ilya Sutskever
7. L. Eon Bottou
8. Diederik P. Kingma
9. James Bergstra
10. Tobias Domhan

Who trusts Guang Yang overall

1. Andrés Camero
2. Dimitrios Stamoulis
3. Ermao Cai
4. Jamal Toutouh

Papers from Guang Yang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Neural networks designing neural networks: Multi-objective hyper-parameter optimization (2016) — 104 citations