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Comparing prior strength

Comparing prior strength

Andrew
Created on October 29|Last edited on October 29

Section 1

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0500m11.522.53cost-per-image0.030.040.050.060.070.080.090.10.20.3
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0500m11.522.53cost-per-image0.40.50.60.70.8
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10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_homegeneous_workers-worker.prior.strength_10-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
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10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
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0500m11.522.53cost-per-image0.050.10.150.20.25
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10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.prior.strength_10-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
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10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_perfect-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_homegeneous_workers-worker.prior.strength_1-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
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10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.prior.strength_1-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.prior.strength_1-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers-worker.prior.strength_10-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_homegeneous_workers_perfect-worker.prior.strength_10-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_perfect-worker.prior.strength_10-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_0
10-29-20-bayes-linear_nn-e_step_within_0.01-byol-worker.prior.type_heterogeneous_workers-worker.prior.strength_50-worker.type_single_mode_real-n_classes_20-n_data_per_class_2000-optimizer.reset_learner_steps_10-optimizer.warmup_steps_3
Run set
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