A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)
How to run:
python active_learn.py \
--epochs $EPOCHS --lr $LR \
--gamma $GAMMA --init-size $INIT_SIZE \
--al-batch-size $AL_BSIZE \
--sampling-method $SAMPLE_METHOD \
--dataset-root $DROOT \
--dataset-name $DNAME \
--output-dir $OUT_DIR \
--max-eps $MAX_EPISODES
Check run_active_learn.sh for more details.