├── CIFAR ├── Model.py ├── get_data.py ├── mc_drop_cifar.py └── train.py ├── Cifar10 ├── CIFAR10.py ├── Model.py ├── __init__.py ├── dataset.py ├── download.py ├── evaluate.py ├── mc_drop.py ├── poly_inverse_time_decay.py └── train.py ├── README.md ├── lenet-all-standard-dropout ├── MNIST_data │ ├── t10k-images-idx3-ubyte.gz │ ├── t10k-labels-idx1-ubyte.gz │ ├── train-images-idx3-ubyte.gz │ └── train-labels-idx1-ubyte.gz ├── Model.py ├── NOISE │ ├── Model.py │ ├── load_data.py │ ├── mc_drop_softmaxmean.py │ ├── mcdrop_accuracy.py │ ├── noisy.py │ ├── poly_inverse_time_decay.py │ └── stddrop_accuracy.py ├── __init__.py ├── __pycache__ │ ├── Model.cpython-36.pyc │ └── poly_inverse_time_decay.cpython-36.pyc ├── bias_variance │ ├── p-0.50 │ │ ├── Model.py │ │ ├── poly_inverse_time_decay.py │ │ ├── run_uncertainty.sh │ │ └── uncertainty.py │ └── p-0.75 │ │ ├── Model.py │ │ ├── poly_inverse_time_decay.py │ │ ├── run_uncertainty.sh │ │ └── uncertainty.py ├── evaluate.py ├── evaluate_mc_dropout.py ├── evaluate_mc_dropout_py3.py ├── evaluation.sh ├── mc_drop.py ├── poly_inverse_time_decay.py ├── subsets │ ├── 1-32 │ │ ├── Model.py │ │ ├── __init__.py │ │ ├── evaluate.py │ │ ├── mc_drop.py │ │ ├── poly_inverse_time_decay.py │ │ ├── train.py │ │ └── trainingStdDrop.log │ └── 1-4 │ │ ├── Model.py │ │ ├── __init__.py │ │ ├── evaluate.py │ │ ├── evaluation.sh │ │ ├── mc_drop.py │ │ ├── poly_inverse_time_decay.py │ │ └── train.py ├── train.py ├── trainednoise_02 │ ├── Model.py │ ├── __init__.py │ ├── evaluate.py │ ├── mc_drop_eval.py │ ├── mc_eval.sh │ ├── noisy.py │ ├── poly_inverse_time_decay.py │ ├── std_drop_eval.py │ ├── std_eval.sh │ └── train.py └── trainednoise_04 │ ├── Model.py │ ├── __init__.py │ ├── empty │ ├── evaluate.py │ ├── mc_drop.py │ ├── noisy.py │ ├── poly_inverse_time_decay.py │ └── train.py ├── lenet-ip ├── Model.py ├── poly_inverse_time_decay.py ├── subsets │ ├── 1-32 │ │ ├── Model.py │ │ ├── poly_inverse_time_decay.py │ │ └── train.py │ 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