Ting Huang
Artificial Intelligence Review · with Lu · 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 Ting Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ting Huang's perspective
Ordered by how strongly the researchers Ting Huang 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)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images