Research map / Label-efficient and robust learning / Domain adaptation and generalization
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RTNet's reinforced data selector and adaptation framework instead of ETN | Partial domain adaptation · Office-31 | accuracy: 95.8 -> 96.8 | Helped |
| Use RTNet's reinforced data selector and adaptation framework instead of ETN | Partial domain adaptation · Digital Dataset | accuracy: 95.1 -> 96.9 | Helped |
| Use RTNet's reinforced data selector and adaptation framework instead of ETN | Partial domain adaptation · Office-Home | accuracy: 70.5 -> 72.0 | Helped |
| Integrate the reinforced data selector into DANN | DANN for partial domain adaptation · Office-31 | accuracy: 70.5 -> 96.9 | Helped |
| Integrate the reinforced data selector into DANN | DANN for partial domain adaptation · Digital Dataset | accuracy: 70.1 -> 97.5 | Helped |
| Integrate the reinforced data selector into DANN | DANN for partial domain adaptation · Office-Home | accuracy: 55.3 -> 72.3 | Helped |
| Select source samples using a policy guided by target-domain reconstruction error | RTNet on SVHN10→MNIST5 · SVHN10→MNIST5 | Wasserstein distance: 0.2574 -> 0.1645 | Helped |
Closest papers by meaning
- Learning to Transfer Examples for Partial Domain Adaptation (CVPR 2019 · similarity 0.89)
- Theoretical Performance Guarantees for Partial Domain Adaptation via Partial Optimal Transport (ICML 2025 · similarity 0.88)
- Implicit Semantic Response Alignment for Partial Domain Adaptation (NeurIPS 2021 · similarity 0.87)
- Adapting to Distribution Shift by Visual Domain Prompt Generation (ICLR 2024 · similarity 0.86)
- Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer (CVPR 2024 · similarity 0.85)
- Reinforced Cross-Domain Knowledge Distillation on Time Series Data (NeurIPS 2024 · similarity 0.85)
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