Meta-Learning With Differentiable Convex Optimization.
Kwonjoon LeeSubhransu MajiAvinash RavichandranStefano SoattoPublished in: CVPR (2019)
Keyphrases
- convex optimization
- meta learning
- learning tasks
- inductive learning
- machine learning algorithms
- model selection
- decision trees
- objective function
- loss function
- total variation
- machine learning
- feature selection
- data mining
- metamodel
- convex optimization problems
- denoising
- base classifiers
- feature space
- training data
- learning algorithm
- alternating direction method of multipliers