L. Xing
Artificial Intelligence · with Wu · 2022
A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Natural Language Processing — 17 citations into it
- Generative Models — 16 citations into it
Whom L. Xing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Diederik P. Kingma
- Tomas Mikolov
- Yann LeCun
- H. Brendan McMahan
- Kaiming He
- Alec Radford
Papers from L. Xing's perspective
Ordered by how strongly the researchers L. Xing 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images