Tiande Guo
Representation & Self-Supervised Learning · 2014
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Representation & Self-Supervised Learning — 6 citations into it
Whom Tiande Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Tiande Guo's perspective
Ordered by how strongly the researchers Tiande Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- This PDF file includes: Materials and Methods
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Deep Architectures for AI
- Extracting and composing robust features with denoising autoencoders
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- A unified architecture for natural language processing: deep neural networks with multitask learning
Their papers
- Fingerprint Classification Based on Depth Neural Network (2014) — 52 citations