Lei Jiao
with Berge · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Lei Jiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Lei Jiao's perspective
Ordered by how strongly the researchers Lei Jiao trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Squeeze-and-Excitation Networks
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A theory of the learnable
- XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
- BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Their papers
- The Convolutional Tsetlin Machine (2019) — 104 citations