Xiang Li
Artificial Intelligence · with Sun · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Natural Language Processing — 12 citations into it
- Model Architectures — 11 citations into it
- Optimization & Training — 5 citations into it
Whom Xiang Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Quoc V. Le
- Ilya Sutskever
- Diederik P. Kingma
- Yoshua Bengio
- Mingxing Tan
- Yann LeCun
- Karen Simonyan
Who trusts Xiang Li overall
Papers from Xiang Li's perspective
Ordered by how strongly the researchers Xiang Li trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Improving One-Shot NAS by Suppressing the Posterior Fading (2019) — 80 citations
- Few-Shot Charge Prediction with Discriminative Legal Attributes (2018) — 250 citations