cynnjjs/spurious_feature_NeuRIPS
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Commands to reproduce Figure 6 (Colored MNIST experiment): python PseudoLabel_MNIST.py --train_S True --train_T True --cor_prob 0.95 python PseudoLabel_MNIST.py --train_S True --train_T True --cor_prob 0.97 Commands to reproduce Figure 7 (Interpolation between pseudolabeling and entropy minimization): python PseudoLabel_MNIST.py --train_S True --pseudolabel True --num_rounds 3 python PseudoLabel_MNIST.py --pseudolabel True --num_rounds 6 python PseudoLabel_MNIST.py --pseudolabel True --num_rounds 30 Commands to reproduce Figure 8 (Gaussian mixture experiment): python3 PseudoLabel_Gaussian.py entropy_min python3 PseudoLabel_Gaussian.py pseudolabel Commands for CelebA experiment: python process_data.py python PseudoLabel_celebA.py --target_w 0 --n_epoch 300 python PseudoLabel_celebA.py --resume --target_w 1 --n_epoch 400 Computational Resource: For CelebA, 1 NVIDIA GPU: Source training 20min, source + target training 22min. All other experiments were run on Macbook Pro and computation time was negligible.
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