Active Learning

Balanced Selection

Introduced by Emam et al. in Active Learning at the ImageNet Scale

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Question Answering 27 4.99%
Language Modelling 18 3.33%
Object Detection 17 3.14%
Meta-Learning 16 2.96%
Image Classification 15 2.77%
Federated Learning 12 2.22%
Few-Shot Learning 12 2.22%
Knowledge Distillation 10 1.85%
Time Series 9 1.66%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories