Yanghua Jin
Generative Models · 2017
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Generative Models — 31 citations into it
- Computer Vision and Pattern Recognition — 27 citations into it
- Artificial Intelligence — 14 citations into it
- Optimization & Training — 8 citations into it
- Statistical and Nonlinear Physics — 8 citations into it
Whom Yanghua Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- L. V. D. van der Maaten
- Jimmy Ba
- Yoshua Bengio
- Alex Krizhevsky
- Martín Arjovsky
- L. Eon Bottou
- Augustus Odena
- Naveen Kodali
Who trusts Yanghua Jin overall
Papers from Yanghua Jin's perspective
Ordered by how strongly the researchers Yanghua Jin 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)