Research map / Label-efficient and robust learning / Domain adaptation and generalization
Learning to Transfer with von Neumann Conditional Divergence
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MDD with von Neumann conditional divergence and weighted-source discrepancy matching | Multi-source domain adaptation · Amazon review ba, be, ca, co, el, go, gr | MAE: ba: 0.586 -> 0.581; be: 0.608 -> 0.588; ca: 0.522 -> 0.508; co: 0.617 -> 0.584; el: 0.654 -> 0.65; go: 0.552 -> 0.537; g | Helped |
| Use MDD with von Neumann conditional divergence and weighted-source discrepancy matching | Multi-source domain adaptation · TRANCOS | MAE: Dom1: 16.19 -> 14.73; Dom2: 14.34 -> 15.27; Dom3: 26.81 -> 24.67; Dom4: 19.89 -> 14.25; Dom5: 22.73 -> 17.34 | Mixed |
| Use representation similarity penalty (RSP) instead of the strongest listed baseline | Continual learning · notmnistP (D1) | RA: 69.8 -> 72.3 | Helped |
| Use representation similarity penalty (RSP) instead of the strongest listed baseline | Continual learning · fashionP (D2) | RA: 59.5 -> 62.5 | Helped |
| Use representation similarity penalty (RSP) instead of the strongest listed baseline | Continual learning · mnistR (D3) | RA: 81.2 -> 62.9 | Hurt |
| Use representation similarity penalty (RSP) instead of the strongest listed baseline | Continual learning · mnistP (D4) | RA: 68.9 -> 71.8 | Helped |
| Add representation similarity penalty to EWC | EWC · fashionP | RA: 42.2 -> 62.5 | Helped |
| Add representation similarity penalty to EWC | EWC · notmnistP | RA: 68.7 -> 72.3 | Helped |
| Add representation similarity penalty to EWC | EWC · mnistP | RA: 66.1 -> 71.8 | Helped |
| Add representation similarity penalty to EWC | EWC · fashionP and mnistP | LA: fashionP: 56.2 -> 66.6; mnistP: 77 -> 80.8 | Helped |
| Add representation similarity penalty to EWC | EWC · notmnistP and mnistR | LA: notmnistP: 81 -> 79.5; mnistR: 85.6 -> 83.6 | No clear effect |
| Add representation similarity penalty to EWC | EWC · notmnistP, fashionP, mnistR, mnistP | BT: notmnistP: -12 -> -7.2; fashionP: -14 -> -4.2; mnistR: -24 -> -21; mnistP: -12 -> -9 | Helped |
Closest papers by meaning
- On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources (NeurIPS 2021 · similarity 0.90)
- A General Representation-Based Approach to Multi-Source Domain Adaptation (ICML 2025 · similarity 0.88)
- Robust Domain Generalization under Divergent Marginal and Conditional Distributions (NeurIPS 2026 · similarity 0.87)
- Wasserstein Transfer Learning (NeurIPS 2025 · similarity 0.87)
- Provable Sample-Efficient Transfer Learning Conditional Diffusion Models via Representation Learning (NeurIPS 2025 · similarity 0.87)
- SimProF: A Simple Probabilistic Framework for Unsupervised Domain Adaptation (AAAI 2025 · similarity 0.87)
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