Ensure enough data in training set

Created on October 31|Last edited on October 31
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Section 1Add markdown, images, and LaTeX\LaTeXLATE​X
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aggregation/all/ece
aggregation/all/ece
0200m400m600m800m11.21.4cost-per-image0.050.060.070.080.090.10.2
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
learner_prob-byol_r50-e3b0c442.pth_feat1.npy/all/top1
learner_prob-byol_r50-e3b0c442.pth_feat1.npy/all/top1
0200m400m600m800m11.21.4cost-per-image0.660.680.70.720.740.760.780.8
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
learner_prob-byol_r50-e3b0c442.pth_feat1.npy/all/ece
learner_prob-byol_r50-e3b0c442.pth_feat1.npy/all/ece
0200m400m600m800m11.21.4cost-per-image0.050.10.150.2
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
10-31-20-bayes-linear_nn-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_single_mode_real-optimizer.warmup_steps_5-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-learner.calibrate_temperature_clean_grow_30
Run set4
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