Xuan-chen Ding
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Generative Models — 13 citations into it
Whom Xuan-chen Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xuan-chen Ding's perspective
Ordered by how strongly the researchers Xuan-chen Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Improved Techniques for Training GANs
- Learning Deep Architectures for AI
- Gradient-based learning applied to document recognition
- Greedy Layer-Wise Training of Deep Networks
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Recurrent neural network based language model
Their papers
- Application of deep learning algorithms in geotechnical engineering: a short critical review (2021) — 472 citations