Yong Li
Artificial Intelligence · with Chen · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
Whom Yong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yong Li's perspective
Ordered by how strongly the researchers Yong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Dropout: a simple way to prevent neural networks from overfitting
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory