Qiaojun Feng
Artificial Intelligence · 2016
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
- Statistics and Probability — 10 citations into it
- Management Science and Operations Research — 9 citations into it
- Reinforcement Learning — 8 citations into it
Whom Qiaojun Feng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nan Jiang
- Ronald J. Williams
- Lihong Li
- Edward L. Ionides
- R. Prentice
- Charu C. Aggarwal
- Adith Swaminathan
- Thorsten Joachims
- Andreas Maurer
- J. Langford
Papers from Qiaojun Feng's perspective
Ordered by how strongly the researchers Qiaojun Feng trusts endorse each paper. Same corpus, a different order for every researcher.
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)