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ood_focal_loss's Introduction

out of distribution detection using focal loss

see blog post

prepare data splits

python3 prepare_splits.py

model_1 experiments; baseline

python3 train_basic_model.py --loss-fn cross_entropy --model-dir m1
python3 calculate_entropies.py --model-dir m1

model_2 experiments; finetune classifier; aka logisitic regression calibration

# model_1 experiments
python3 train_model_2.py --input-model-dir m1 --output-model-dir m2
python3 calculate_metrics.py --model m1/weights.npz
python3 calculate_metrics.py --model m2/weights.npz
python3 calculate_entropies.py --model-dir m2

model_3 experiments; fit scalar temperture

# model_1 experiments
python3 train_model_3.py --input-model-dir m1 --output-model-dir m3
python3 calculate_entropies.py --model-dir m3
python3 calculate_entropies.py --model-dir m3 --include-temp-layer
python3 calculate_metrics.py --model m3/weights.npz
python3 calculate_metrics.py --model m3/weights.npz --include-temp-layer

model_4 experiments; use focal loss

python3 train_basic_model.py --loss-fn focal_loss --gamma 1.0 --model-dir m4_1
python3 calculate_entropies.py --model-dir m4_1
python3 train_basic_model.py --loss-fn focal_loss --gamma 2.0 --model-dir m4_2
python3 calculate_entropies.py --model-dir m4_2
python3 train_basic_model.py --loss-fn focal_loss --gamma 3.0 --model-dir m4_3
python3 calculate_entropies.py --model-dir m4_3

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