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exp_log_name: "embed_samplesize" # optional but recommended | ||
exp_log_name: "embeddings_samplesize" # optional but recommended | ||
data: ["imagenet_real_embeddings"] | ||
experiments: ["ScaleSampleSizeSW", "ScaleSampleSizeC2ST", "ScaleSampleSizeMMD", "ScaleSampleSizeFID",] | ||
n: [10000] | ||
d: [2048] | ||
augmentation: ['imagenet_uncond_embeddings'] | ||
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seed: 0 | ||
runs: 5 | ||
runs: 5 | ||
bandwidth: 64 |
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exp_log_name: "sample_size_dimensionality" # optional but recommended | ||
data: ["toy_2d" , "random", "random"] | ||
experiments: ["ScaleSampleSizeSW", "ScaleSampleSizeC2ST", | ||
"ScaleSampleSizeMMD"] | ||
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experiments_dim: ["ScaleDimSW", "ScaleDimC2ST", "ScaleDimMMD"] | ||
dim_sizes: [5, 10, 50, 100, 500, 1000] | ||
sample_size: [50, 100, 200, 500, 1000, 2000, 3000, 4000] | ||
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n: [10000, 10000, 10000] #[10000, 10000, 10000] | ||
d: [2, 10, 1000] | ||
# datasets to use | ||
data: ["toy_2d" , "random", "random"] | ||
augmentation: ['gauss', 'one_dim_shift', 'one_dim_shift',] | ||
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# number of samples and dimensions | ||
n: [10000, 10000, 10000] #samples | ||
d: [2, 10, 1000] # dimensions | ||
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mmd_bandwidth: [1, 5, 10] | ||
#mmd_bandwidth: [1, 10, 50] | ||
augmentation: ['gauss', 'one_dim_shift', 'one_dim_shift',] | ||
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# sample size experiments | ||
experiments: ["ScaleSampleSizeSW", "ScaleSampleSizeC2ST","ScaleSampleSizeMMD"] | ||
sample_size: [50, 100, 200, 500, 1000, 2000, 3000, 4000] | ||
runs: 5 # number of sample selection for errorbars | ||
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# dimensionality experiments | ||
experiments_dim: ["ScaleDimSW", "ScaleDimC2ST", "ScaleDimMMD"] | ||
dim_sizes: [5, 10, 50, 100, 500, 1000] | ||
runs_dim: 5 # number of sample selection for errorbars | ||
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# seed for reproducibility | ||
seed: 0 | ||
runs: 5 | ||
runs_dim: 5 |
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