Research map / Label-efficient and robust learning / Recognition and long-tail
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP20 | Opt. Gap: 108.6886% -> 0.0000% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP50 | Opt. Gap: 288.1454% -> 0.0145% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP100 | Opt. Gap: 498.3095% -> 0.0370% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP200 | Opt. Gap: 800.2519% -> 0.8844% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP500 | Opt. Gap: 1398.1482% -> 2.5365% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP1000 | Opt. Gap: 2073.6679% -> 3.2238% | Helped |
| Add a heat map to guide MCTS edge selection (ablation) | MCTS · TSP10000 | Opt. Gap: 1293.2206% -> 4.3902% | Helped |
Closest papers by meaning
- Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems (ICML 2024 · similarity 0.91)
- H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem (AAAI 2023 · similarity 0.90)
- TSP with Predictions: Heatmap to Tour with Provable Guarantees (ICML 2026 · similarity 0.90)
- Unsupervised Learning for Solving the Travelling Salesman Problem (NeurIPS 2023 · similarity 0.89)
- Beyond the Heatmap: A Rigorous Evaluation of Component Impact in MCTS-Based TSP Solvers (ICLR 2026 · similarity 0.89)
- DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem (AAAI 2025 · similarity 0.86)
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