Research map / Label-efficient and robust learning / Domain adaptation and generalization
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase the number of gradual self-training steps T along a fixed path | Gradual self-training · Color-Shift MNIST | target test error | Mixed |
| Increase the number of gradual self-training steps T along a fixed path | Gradual self-training · Rotated MNIST | target test error | Mixed |
| Increase the number of gradual self-training steps T along a fixed path | Gradual self-training · CoverType | target test error | Mixed |
| Increase the number of gradual self-training steps T along a fixed path | Gradual self-training · Portraits | target test error | Mixed |
| Use a bound with additive linear dependence on T instead of the prior exponential dependence | Gradual self-training generalization analysis · Target domain | generalization error bound: e^{\cO(T)} (\eps_{0}(h_0) \mathrm{+} \cO\bigl(\frac{1}{\sqrt n } \mathrm{+} \sqrt{\frac{\log T}{n}}~\bigr)) -> \eps_{0}( | Helped |
| Choose intermediate domains along a shorter path, ideally a Wasserstein geodesic | Gradual self-training · Source-to-target domain path | target generalization error bound: T\Delta | Helped |
Closest papers by meaning
- Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation (NeurIPS 2025 · similarity 0.90)
- Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm (AAAI 2025 · similarity 0.89)
- Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization (NeurIPS 2024 · similarity 0.89)
- Pseudo-Labeling for Unsupervised Domain Adaptation with Kernel GLMs (NeurIPS 2026 · similarity 0.88)
- Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety (CVPR 2025 · similarity 0.88)
- Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective (CVPR 2024 · similarity 0.88)
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