Unsupervised MNIST
9 papers with code • 1 benchmarks • 1 datasets
Accuracy on MNIST when training without any labels
Libraries
Use these libraries to find Unsupervised MNIST models and implementations
MNIST
Latest papers with no code
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Though there remains a small performance gap between our simple constructive model and SOTA methods, the evidence points to this as a promising direction for achieving a principled and white-box approach to unsupervised learning.
