Yu Gong
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Information Systems — 15 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Information Retrieval & Search — 8 citations into it
- Natural Language Processing — 8 citations into it
- Generative Models — 6 citations into it
Whom Yu Gong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yu Gong's perspective
Ordered by how strongly the researchers Yu Gong trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- Improved Techniques for Training GANs
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images