Peng Jin
Artificial Intelligence · with Chen · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Natural Language Processing — 20 citations into it
- Generative Models — 13 citations into it
Whom Peng Jin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Peng Jin's perspective
Ordered by how strongly the researchers Peng Jin trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Generating Sequences With Recurrent Neural Networks
- Learning Multiple Layers of Features from Tiny Images