Balanced Selection

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

Source: Active Learning at the ImageNet Scale

Paper	Code	Results	Date	Stars

Task	Papers	Share
Reinforcement Learning (RL)	39	5.82%
Reinforcement Learning	27	4.03%
Large Language Model	24	3.58%
Question Answering	22	3.28%
Language Modeling	22	3.28%
Language Modelling	22	3.28%
Mathematical Reasoning	20	2.99%
RAG	19	2.84%
Retrieval-augmented Generation	16	2.39%

This feature is experimental; we are continuously improving our matching algorithm.

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