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Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care

ICML 2018 · Time series › Causal and generative time series · approach: Robust forecasting and evaluation · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use 12 auxiliary tasks selected by feature importanceDSMT · ICU alarm classification, 25 labelsAUROC: 0.834 -> 0.872Helped
use 50 auxiliary tasks selected by feature importanceDSMT · ICU alarm classification, 50 labelsAUROC: 0.834 -> 0.901Helped
use the proposed DSMT approachICU alarm classification · 25, 50 and 100 labelsAUROC: 13.0%, 12.6% and 8.0% over Ladder Networks; 9.4%, 10.4% and 5.6% over Feature Matching GANsHelped
remove two-step training; instead train auxiliary and main tasks without the alternating procedure (ablation)DSMT-100 · ICU alarm classification, more than 12 labelsAUROC: 0.831 -> 0.798; 0.893 -> 0.785; 0.907 -> 0.814; 0.934 -> 0.849; 0.934 -> 0.898Hurt
add two-step training that alternates auxiliary-task and main-task optimization (ablation)DSMT-100 · ICU alarm classification, more than 12 labelsAUROC: 0.798 -> 0.831; 0.785 -> 0.893; 0.814 -> 0.907; 0.849 -> 0.934; 0.898 -> 0.934Helped
distribute auxiliary tasks sequentially in depth rather than in parallel (ablation)DSMT-100 · ICU alarm classificationAUROC: 0.720 vs 0.587; 0.831 vs 0.611; 0.893 vs 0.722; 0.907 vs 0.610; 0.934 vs 0.624; 0.934 vs 0.702Hurt
place auxiliary tasks directly on the head block (ablation)DSMT · ICU alarm classificationAUROC: 0.791 vs 0.720; 0.804 vs 0.831; 0.828 vs 0.893; 0.887 vs 0.907; 0.941 vs 0.934; 0.940 vs 0.934Mixed
select 6 auxiliary tasks randomly rather than by feature-importance ranking (ablation)DSMT-6 · ICU alarm classificationAUROC: 0.763 -> 0.805; 0.839 -> 0.851; 0.866 -> 0.884; 0.897 -> 0.909Helped
select 100 auxiliary tasks randomly rather than by feature-importance ranking (ablation)DSMT-100 · ICU alarm classificationAUROC: 0.720 -> 0.790; 0.831 -> 0.860; 0.893 -> 0.883; 0.907 -> 0.909; 0.934 -> 0.918; 0.934 -> 0.932Mixed
increase the number of feature-importance-selected auxiliary tasks (ablation)DSMT · ICU alarm classification with sufficient labelsAUROCHelped
increase the number of randomly selected auxiliary tasks from 6 to 100 (ablation)DSMT · ICU alarm classificationAUROCNo clear effect
use Feature Matching GAN instead of DSMTICU alarm classification · 12 labelsAUROC: 0.846 vs 0.763Hurt

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