The challenge of representation learning: Improved accuracy in deep vision models does not come with better predictions of perceptual similarity.
Fritz GüntherMarco MarelliMarco Alessandro PetilliPublished in: CoRR (2023)
Keyphrases
- improved accuracy
- learned models
- learning algorithm
- learning models
- prior knowledge
- similarity measure
- deep architectures
- accurate models
- structured prediction
- learning problems
- probabilistic model
- learning tasks
- knowledge acquisition
- hidden variables
- learning rules
- dynamic bayesian networks
- reinforcement learning
- training data
- unsupervised learning
- similarity function
- classification models
- online learning
- human perception
- qualitative models
- supervised learning
- active learning