Meta-learning-PAC-Bayes-bound-with-data-depedent-prior

• 'PriorMetaLearning' to analyze the influence of different PAC-Bayes bounds with permuted labels and pixels

  • 'NewBoundMcAllaster'
  • 'NewBoundSeeger'
  • 'PAC_Bayes_lambda'
  • 'PAC_Bayes_quad'
  • 'PAC_Bayes_variational_role'

• 'Meta_DataDependentPrior' to analyze the influence of data dependent prior

• 'requirements.txt' version of libraries

  Project Structure

  .
  |----Data_Path.py  
  |----MAML/
  |    |----main_MAML.py  
  |    |----MAML_meta_step.py  
  |    |----meta_test_MAML.py  
  |    |----meta_train_MAML_finite_tasks.py  
  |    |----meta_train_MAML_infinite_tasks.py  
  |    |----run_MAML_PermuteLabels.py  
  |    |----run_MAML_ShuffledPixels.py  
  |----Meta_DataDependentPrior/ 
  |    |----DP_Analyze_Prior.py  
  |    |----DP_AvargeTransfer.py  
  |    |----DP_Get_Objective_MPB.py  
  |    |----DP_main_Meta_Bayes.py  
  |    |----DP_meta_test_Bayes.py  
  |    |----DP_meta_train_Bayes_finite_tasks.py  
  |    |----DP_meta_train_Bayes_infinite_tasks.py  
  |    |----DP_run_MPB_PermutedLabels_TasksN.py  
  |    |----DP_run_MPB_ShuffledPixels_TasksN.py  
  |    |----DP_show_TasksN_Plots.py  
  |    |----DP_test_data_prior_learning.py  
  |    |----DP_train_data_prior_learning.py  
  |    |----saved/
  |----ML_data_sets/
  |----Models/
  |    |----deterministic_models.py  
  |    |----layer_inits.py  
  |    |----stochastic_inits.py  
  |    |----stochastic_layers.py  
  |    |----stochastic_models.py  
  |----PriorMetaLearning/
  |    |----Analyze_Prior.py  
  |    |----AvargeTransfer.py  
  |    |----Get_Objective_MPB.py  
  |    |----main_Meta_Bayes.py  
  |    |----meta_test_Bayes.py  
  |    |----meta_train_Bayes_finite_tasks.py  
  |    |----meta_train_Bayes_infinite_tasks.py  
  |    |----run_MPB_PermutedLabels_TasksN.py  
  |    |----run_MPB_PermuteLabels.py  
  |    |----run_MPB_ShuffledPixels.py  
  |    |----run_MPB_ShuffledPixels_TasksN.py  
  |    |----saved/
  |    |----show_TasksN_Plots.py  
  |----README.md  
  |----requirements.txt  
  |----tree.py  
  |----Utils/
  |    |----Bayes_utils.py  
  |    |----common.py  
  |    |----data_gen.py  
  |    |----DP_data_gen.py  
  |    |----imagenet_data.py  
  |    |----omniglot.py  
  |    |----Resize_ImageNet.py  

Requirements

certifi==2020.6.20
cycler==0.10.0
future==0.18.2
joblib==0.17.0
kiwisolver==1.2.0
matplotlib==3.3.1
numpy==1.19.1
Pillow==7.2.0
pyparsing==2.4.7
python-dateutil==2.8.1
scikit-learn==0.23.2
scipy==1.5.2
six==1.15.0
sklearn==0.0
threadpoolctl==2.1.0
torch==1.5.1
torchvision==0.6.1