Gang Luo
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #8,408 of 35,345 by trust here, #25,809 by citations
- Optimization & Training — 15 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Neural Architecture Search & AutoML — 9 citations into it
- Statistics and Probability — 6 citations into it
Whom Gang Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank Hutter
- James Bergstra
- Yoshua Bengio
- Kevin Swersky
- Jasper Snoek
- Holger H. Hoos
- Hugo Larochelle
- Geoffrey E. Hinton
- Matthias Feurer
- Alex Krizhevsky
Who trusts Gang Luo overall
- Marc-André Zöller
- Li Yang
- Marco F. Huber
- Hussain Alibrahim
- Abdallah Shami
- Simone A. Ludwig
- B. Abbasi
- Philipp Probst
- Joaquin Vanschoren
- Zeyuan Shang
Papers from Gang Luo's perspective
Ordered by how strongly the researchers Gang Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)