Representation Learning
Evaluation complete
MOMENT
A general-purpose time series foundation model used here as a frozen representation backbone.
Method overview
A general-purpose time series foundation model used here as a frozen representation backbone.
Evaluated configurations
kNN
LR
MLP
NC
RF
SVM
Classifier heads are grouped on this page under their shared pretrained model. They remain separate leaderboard entries because they represent different experimental configurations.
- Organization
- Auton Lab, Carnegie Mellon University
- Parameters
- 125M backbone
- Checkpoint used
- MOMENT-1-base
- Input Type
- Univariate + multivariate time series
- Inference
- Frozen representation + fitted classifier
Reading this model's evaluation
The method catalog describes the pretrained model; leaderboard eligibility depends on the actual coverage of each experimental configuration. Catalog inclusion does not imply complete coverage of all 198 datasets.