Multi Task Learning On Qm9
Metrics
∆m%
Results
Performance results of various models on this benchmark
Model Name | ∆m% | Paper Title | Repository |
|---|---|---|---|
| PCGrad | 125.7 | - | - |
| CAGrad | 112.8 | - | - |
| IMTL-G | 77.2 | - | - |
| BayesAgg-MTL | 53.7 | Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning | |
| Nash-MTL | 62.0 | Multi-Task Learning as a Bargaining Game | - |
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