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Confidence Weighted Multitask Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add active adaptive-margin query to CWMT (ACWMT vs CWMT) (ablation) | CWMT · Spam Email | queried labels: 7068 -> 3983.2 | Helped |
| add active adaptive-margin query to CWMT (ablation) | CWMT · MHC-I | queried labels: 18664 -> 11388.5 | Helped |
| add active adaptive-margin query to CWMT (ablation) | CWMT · EachMovie | queried labels: 6000 -> 3171.5 | Helped |
| add active adaptive-margin query to CWMT (ablation) | CWMT · Spam Email, MHC-I, EachMovie | cumulative error rate (%): 4.90 -> 4.89; 36.72 -> 36.73; 17.98 -> 17.97 | No clear effect |
| use second-order confidence-weighted multitask query (ACWMT) instead of first-order ALP query | ALP · Spam Email | cumulative error rate (%): 7.49 -> 4.89 | Helped |
| use ACWMT instead of ALP | ALP · MHC-I | cumulative error rate (%): 42.64 -> 36.73 | Helped |
| use ACWMT instead of ALP | ALP · EachMovie | cumulative error rate (%): 21.64 -> 17.97 | Helped |
| use ACWMT instead of ALP | ALP · Spam Email | queried labels: 5530.8 -> 3983.2 | Helped |
| add second-order confidence weighting (CWMT vs OSMTL-e) | OSMTL-e · Spam Email | cumulative error rate (%): 5.22 -> 4.90 | Helped |
| add second-order confidence weighting (CWMT vs OSMTL-e) | OSMTL-e · EachMovie | cumulative error rate (%): 19.24 -> 17.98 | Helped |
| track covariance of weights (ACWMT vs OSMTL-e) | OSMTL-e · Spam Email | run time (s): 1.36 -> 11.49 | Hurt |
| vary query parameter h across 1e-4 to 1 (ablation) | ACWMT vs ALP · three datasets | cumulative error rate (%) at matched query ratio | Helped |
Closest papers by meaning
- Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning (NeurIPS 2023 · similarity 0.90)
- Active Learning from Peers (NeurIPS 2017 · similarity 0.88)
- Online Multitask Learning with Long-Term Memory (NeurIPS 2020 · similarity 0.88)
- Adaptive Smoothed Online Multi-Task Learning (NeurIPS 2016 · similarity 0.87)
- When More Data Doesn't Help: Limits of Adaptation in Multitask Learning (ICML 2026 · similarity 0.86)
- Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning (ICML 2024 · similarity 0.83)
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