A Collection of Main Papers on Gradient-based-Multi-objective-optimization-and-Deep-Multi-task-Learning
| Paper Title | Venue | Year | Authors | Materials | Comment |
|---|---|---|---|---|---|
| 1. Multi-Task Learning as Multi-Objective Optimization | NIPS | 2018 | Sener et al. | [paper] [code] | [blog] |
| 2. Pareto Multi-Task Learning | NIPS | 2019 | Lin st al. | [paper] [code] | [blog] |
| 3. Effcient Continuous Pareto Exploration in Multi-Task Learning | ICML | 2020 | Ma st al. | [paper][code] | [blog] |
| 4. Multi-Task Learning with User Preferences Gradient Descent with Controlled Ascent in Pareto Optimization | ICML | 2020 | Mahapatra st al. | [paper] [code] | |
| 5. Controllable Pareto Multi-Task Learning | arxiv | 2021 | Lin st al. | [paper] | |
| 6. Learning the pareto front with hypernetworks | ICLR | 2021 | Navon st al. | [paper] [code] | |
| 7. Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent | NIPS | 2021 | Liu st al. | [paper] [code] | |
| 8. Scalable Pareto Front Approximation for Deep Multi-Objective Learning | ICDM | 2021 | Ruchte st al. | [paper] [code] | |
| 9. Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization | arxiv | 2021 | Deist st al. | [paper] [code] | |
| 10. Self-Evolutionary Optimization for Pareto Front Learning | arxiv | 2021 | Chang st al. | [paper] | |
| 11. Pareto Navigation Gradient Descent: a First-Order Algorithm for Optimization in Pareto Set | arXiv | 2021 | Ye st al. | [paper] |
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