k-NN

Reported on 5 benchmarks across 3 tasks · 2 papers · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Image ClassificationonMeta-Dataset
Accuracy· 2019-03-07
54.319
best: 85.27 (SMAT (DINO-VIT-Base-16-224))
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples arXiv:1903.03096
Image ClassificationonMeta-Dataset Rank
Mean Rank· 2019-03-07
10.85
best: 11.8 (Relation Networks)
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples arXiv:1903.03096
Few-Shot Image ClassificationonMeta-Dataset
Accuracy· 2019-03-07
54.319
best: 85.27 (SMAT (DINO-VIT-Base-16-224))
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples arXiv:1903.03096
Few-Shot Image ClassificationonMeta-Dataset Rank
Mean Rank· 2019-03-07
10.85
best: 11.8 (Relation Networks)
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples arXiv:1903.03096

Knowledge Base1 result

Causal InferenceonIHDP
Average Treatment Effect Error· 2016-06-13
0.79
best: 0.13 (SIP + BCAUSS)
SOTA
Estimating individual treatment effect: generalization bounds and algorithms arXiv:1606.03976