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Reset the pseudo label

Reset the pseudo label

Andrew
Created on October 28|Last edited on October 28

Section 1

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Showing first 10 runs
0500m11.52cost-per-image0.010.1
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
0500m11.52cost-per-image0.20.40.60.8
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
0500m11.52cost-per-image0.050.10.150.20.250.3
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_10 reset_learner_steps=10
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_predefined_homegeneous-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_heterogeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_diagonal_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
10-28-20-bayes-linear_nn-byol-worker.known_false-worker.prior.type_homegeneous_workers_perfect-worker.type_no_structure_real-n_classes_20-n_data_per_class_2000-n_hits_per_step_10-optimizer.algo_LearnerInEM+PseudoLabel+UpdateEnd-optimizer.reset_learner_steps_5 reset_learner_steps=5
reset_learner_steps=10
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reset_learner_steps=5
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https://wandb.ai/andrewliao11/knn_crowdsourcing/reports/Reset-the-pseudo-label--VmlldzoyOTcwNzY
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