├── LICENSE ├── README.md ├── experiments ├── __init__.py ├── convergent_learning_notebook.ipynb ├── estimate_mi.py ├── load_data.py ├── match_unit.py ├── plotting.py └── pycache.py └── sparse_prediction ├── net0_net1_L1_-1_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-1_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.2_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.4_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.6_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.6_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.8_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2.8_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-2_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3.2_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3.4_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3.6_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3.8_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-3_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-4_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-4_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-5_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_-5_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_0_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net0_net1_L1_0_conv2 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── stitch_iter_2000.solverstate ├── stitch_iter_3000.caffemodel ├── stitch_iter_3000.solverstate ├── stitch_iter_4000.caffemodel ├── stitch_iter_4000.solverstate └── stitching.pkl ├── net1_net0_L1_-2.6_conv1 ├── log.log ├── loss.pkl ├── network.prototxt ├── solver.prototxt ├── stitch_iter_0.caffemodel ├── stitch_iter_0.solverstate ├── stitch_iter_1000.caffemodel ├── stitch_iter_1000.solverstate ├── stitch_iter_2000.caffemodel ├── 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