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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 \
    --rot 

Results on CIFAR-10

# Labels UDA Paper UDA Repo UDA + Rotation
250 8.76 11 8.2
500 6.68 9.1 7.7
1000 5.87 7.8 5.8
2000 5.51 6.9 6.1
4000 5.29 6.1 5.1

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