MetaLearning（元学习，LearningtoLearn）最新具有代表性文章10篇【是pdf，不是代码，不知为什么名称后面自动加源码下载】
Meta Learning（元学习，又叫 Learning to Learn）已经成为继Reinforcement Learning之后又一个重要的研究分支。这是Meta Learning领域最新具有代表性的十篇文章，值得精读，相信对机器学习学习者和研究者会有很大启发。
文件列表
元学习_Learning to Learn最新代表性文章10篇.zip
(预估有个10文件)
元学习_Learning to Learn最新代表性文章10篇
Learning to Optimize Neural Nets.pdf
979KB
Gradient-based Hyperparameter Optimization through Reversible Learning.pdf
690KB
Meta-Learning with Memory-Augmented Neural Networks.pdf
1.57MB
One-Shot Generalization in Deep Generative Models.pdf
2.73MB
Learned Optimizers that Scale and Generalize.pdf
2.02MB
FEW SHOT AUTOREGRESSIVE DENSITY ESTIMATION.pdf
3.56MB
Human-level concept learning.pdf
1.74MB
Learning to Learn without Gradient Descent.pdf
750KB
Learning to Learn – The Berkeley Artificial Intelligence Research Blog.pdf
3.12MB
暂无评论