Representation Learning
Evaluation complete
NuTime
A numerically multi-scaled time series encoder used as a frozen representation backbone.
Method overview
A numerically multi-scaled time series encoder used as a frozen representation backbone.
Evaluated configurations
RF
Classifier heads are grouped on this page under their shared pretrained model. They remain separate leaderboard entries because they represent different experimental configurations.
- Organization
- Microsoft Research · Peking University
- Parameters
- 2.4M backbone
- Checkpoint used
- checkpoint_bias9.pth
- Input Type
- Univariate + multivariate time series
- Inference
- Frozen CLS 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.