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Pytorch Implementation of Unsupervised Data Augmentation

python main.py \
    --lr-warm-up  \
    --num-labeled  1000 \
    --num-steps 100000 \
    --warm-up-steps 10000 \
    --batch-size-lab 64 \
    --batch-size-unlab 320 \
    --confidence-mask 0.6 \
    --softmax-temp 0.5 \
    --seed 3

Results on CIFAR-10

# Labels Accuracy (%)
250 11
500 9.1
1000 7.8
2000 6.9
4000 6.1

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