Xiaoan Tang
Artificial Intelligence Review · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Xiaoan Tang trusts overall
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Papers from Xiaoan Tang's perspective
Ordered by how strongly the researchers Xiaoan Tang trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
- Learning Precise Timing with LSTM Recurrent Networks
- An overview of fault tree analysis and its application in model based dependability analysis (Expert systems with applications)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- This PDF file includes: Materials and Methods
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Deep Learning
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)