Jingdong Li
Artificial Intelligence · 2019
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
- Artificial Intelligence — 22 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Natural Language Processing — 6 citations into it
- Generative Models — 5 citations into it
Whom Jingdong Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jingdong Li's perspective
Ordered by how strongly the researchers Jingdong Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Teacher-Student Training For Robust Tacotron-Based TTS (2019) — 40 citations