Core-set

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

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

Methodology2 results

Optical Character Recognition (OCR)onCIFAR10 (10,000)
Accuracy· 2017-08-01
89.92
best: 93.2 (TypiClust)
SOTA
Active Learning for Convolutional Neural Networks: A Core-Set Approach arXiv:1708.00489
Active LearningonCIFAR10 (10,000)
Accuracy· 2017-08-01
89.92
best: 93.2 (TypiClust)
SOTA
Active Learning for Convolutional Neural Networks: A Core-Set Approach arXiv:1708.00489