MLD3 / MILwAPI

Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"

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Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"

File Definitions

For All Tasks

  • hyperparameters.txt: final hyperparameters and the hyperparameters searched over for all MIL methods on all datasets

For Real Data Tasks

  • pretrain_chexpert.txt: names of the images we used to pretrain models that evaluate our real data task of classifying cardiomegaly in chest x-rays
  • train_mimic.txt, val_mimic.txt, test_mimic.txt: names of images in our training, validation, and test splits of the models that evaluate our real data task of classifying cardiomegaly in chest x-rays
  • train_chexpert_edema.txt: names of the images we used to pretrain models that evaluate our real data task of classifying pulmonary edema in chest x-rays
  • train_mimic_edema.txt, val_mimic_edema.txt, test_mimic_edema.txt: names of images in our training, validation, and test splits of the models that evaluate our real data task of classifying pulmonary edema in chest x-rays

For Synthetic Data Tasks

  • classification_times.txt: classification times of all methods on the synthetic data task

Folder Definitions

  • MNIST_Ordered_List_Task: jupyter notebooks to create the ordered lists in the MNIST_Ordered_List_Task
  • SyntheticData_ModelsTraining, RealData_ModelsTraining: code to train the models/ obtain results for synthetic and real data

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Code and Additional Information for "Multiple Instance Learning with Absolute Position Information"


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Language:Jupyter Notebook 79.0%Language:Python 21.0%