In-Context Learning
Evaluation complete
TabICL
A tabular foundation model applied to vectorized time series through in-context classification.
Method overview
A tabular foundation model applied to vectorized time series through in-context classification.
Evaluated configurations
Native in-context inference
Classifier heads are grouped on this page under their shared pretrained model. They remain separate leaderboard entries because they represent different experimental configurations.
- Organization
- Inria · École Normale Supérieure–PSL
- Parameters
- Not reported for v1.1 checkpoint
- Checkpoint used
- tabicl-classifier-v1.1-20250506.ckpt
- Input Type
- Vectorized time series
- Inference
- Training-free in-context classification
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.