Research map / Label-efficient and robust learning / Domain adaptation and generalization
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add domain diversity loss to DATE (ablation) | DATE (SHOT) · Office-Home | accuracy: 75.2 -> 76.3 | Helped |
| Add proxy discriminability perception (ablation) | DATE (SHOT) · Office-Home | accuracy: 75.2 -> 76.3 | Helped |
| Add habitat uncertainty (ablation) | DATE (SHOT) · Office-Home | accuracy: 75.4 -> 76.3 | Helped |
| Add habitat density (ablation) | DATE (SHOT) · Office-Home | accuracy: 75.5 -> 76.3 | Helped |
| Add source-similarity transferability perception (ablation) | DATE (SHOT) · Office-Home | accuracy: 74.9 -> 76.3 | Helped |
| Use DATE (SHOT) instead of LtC-MSDA | Digits-Five · Digits-Five | accuracy: 91.8 -> 90.9 | Hurt |
Closest papers by meaning
- Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective (CVPR 2024 · similarity 0.89)
- Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety (CVPR 2025 · similarity 0.88)
- Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation (AAAI 2025 · similarity 0.86)
- Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer (CVPR 2024 · similarity 0.86)
- Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation (NeurIPS 2025 · similarity 0.86)
- Proxy Denoising for Source-Free Domain Adaptation (ICLR 2025 · similarity 0.86)
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