VAT+EntMin

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Computer Vision2 results

Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2017-04-13
10.55
best: 3.96 (SimMatch)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning arXiv:1704.03976
Semi-Supervised Image ClassificationonCIFAR-10, 4000 Labels
Percentage error· 2017-04-13
10.55
best: 3.96 (SimMatch)
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning arXiv:1704.03976