Yu Cheng
Artificial Intelligence · with Huang · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 16 citations into it
Whom Yu Cheng trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun (in Artificial Intelligence)
Papers from Yu Cheng's perspective
Ordered by how strongly the researchers Yu Cheng trusts endorse each paper. Same corpus, a different order for every researcher.
- Curriculum learning
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- FaceNet: A unified embedding for face recognition and clustering
- Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Improving Neural Machine Translation Models with Monolingual Data