Tianshu Qu
2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Tianshu Qu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tianshu Qu's perspective
Ordered by how strongly the researchers Tianshu Qu trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Conditional Generative Adversarial Nets
- Autoencoding beyond pixels using a learned similarity metric
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)