规划安全论文趋势 2023–2026

主要结论

• 规划安全论文从 2023 年的 33 篇增长到 2026 年的 37 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发规划安全论文最多的会议，2023–2026 年共 59 篇，占四个会议总量的 56%。
• 交叉方向里涨得最快的是社会层面 · safety：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 5 篇。
• 在「博弈与规划」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的经典规划是 3.3 倍，规划安全是 1.1 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026PASSAGE: A Real-Terrain Benchmark for Trustworthy Constrained Path Planning
• ICML 2026Constrained Bayesian Experimental Design via Online Planning
• ICLR 2026Superficial Safety Alignment Hypothesis
• CVPR 2026ActiveAD Planning-Oriented Active Learning for End-to-End Autonomous Driving
• NeurIPS 2025Refusal Direction is Universal Across Safety-Aligned Languages
• ICML 2025Goal-Space Planning with Subgoal Models
• ICLR 2025Durable Quantization Conditioned Misalignment Attack on Large Language Models
• NeurIPS 2024Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
• ICML 2024MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
• ICLR 2024Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
• CVPR 2024Anatomically Constrained Implicit Face Models
• NeurIPS 2023Experiment Planning with Function Approximation
• ICML 2023Constrained Monotonic Neural Networks
• ICLR 2023Integrating Symmetry into Differentiable Planning with Steerable Convolutions
• NeurIPS 2026Ordinal Geometry Complements Reconstruction: Diagnosing Planning with Compressed Value Functions
• ICML 2026On the Ability of Transformers to Verify Plans
• ICLR 2026Mitigating the Safety Alignment Tax with Null-Space Constrained Policy Optimization
• CVPR 2026HQC-NBV A Hybrid Quantum-Classical View Planning Approach
• NeurIPS 2025Alignment of Large Language Models with Constrained Learning
• ICML 2025Training Deep Learning Models with Norm-Constrained LMOs

全部规划安全论文

共 33 篇，第 1 / 1 页

1. ICLR 2023Integrating Symmetry into Differentiable Planning with Steerable Convolutions
2. ICLR 2023Learning Diffusion Bridges on Constrained Domains
3. ICLR 2023Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
4. ICML 2023Automatically marginalized MCMC in probabilistic programming
5. ICML 2023Communication-Constrained Bandits under Additive Gaussian Noise
6. ICML 2023Constrained Monotonic Neural Networks
7. ICML 2023Constrained Phi-Equilibria
8. ICML 2023On Coresets for Clustering in Small Dimensional Euclidean spaces
9. ICML 2023Optimistic Planning by Regularized Dynamic Programming
10. ICML 2023ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs
11. NeurIPS 2023$p$-Poisson surface reconstruction in curl-free flow from point clouds
12. NeurIPS 2023Accelerating Motion Planning via Optimal Transport
13. NeurIPS 2023Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
14. NeurIPS 2023Demographic Parity Constrained Minimax Optimal Regression under Linear Model
15. NeurIPS 2023DICES Dataset: Diversity in Conversational AI Evaluation for Safety
16. NeurIPS 2023Experiment Planning with Function Approximation
17. NeurIPS 2023Fully Dynamic $k$-Clustering in $\tilde O(k)$ Update Time
18. NeurIPS 2023How do Minimum-Norm Shallow Denoisers Look in Function Space?
19. NeurIPS 2023Information-guided Planning: An Online Approach for Partially Observable Problems
20. NeurIPS 2023Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
21. NeurIPS 2023Near-Optimal $k$-Clustering in the Sliding Window Model
22. NeurIPS 2023Online Ad Procurement in Non-stationary Autobidding Worlds
23. NeurIPS 2023Online POMDP Planning with Anytime Deterministic Guarantees
24. NeurIPS 2023Optimistic Exploration in Reinforcement Learning Using Symbolic Model Estimates
25. NeurIPS 2023POMDP Planning for Object Search in Partially Unknown Environment
26. NeurIPS 2023Reference-Based POMDPs
27. NeurIPS 2023Segment Anything in 3D with NeRFs
28. NeurIPS 2023Segment Anything in High Quality
29. NeurIPS 2023The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes
30. NeurIPS 2023Tracking Most Significant Shifts in Nonparametric Contextual Bandits
31. NeurIPS 2023Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
32. NeurIPS 2023What Knowledge Gets Distilled in Knowledge Distillation?
33. NeurIPS 2023What Planning Problems Can A Relational Neural Network Solve?

常见问题

2023–2026 年四大会议一共有多少篇规划安全论文？

共 105 篇，按年份分别是 2023 年 33 篇、2024 年 16 篇、2025 年 19 篇、2026 年 37 篇。

NeurIPS 2026 有多少篇规划安全论文？

NeurIPS 2026 有 21 篇规划安全论文，上一届是 7 篇。

ICLR 2026 有多少篇规划安全论文？

ICLR 2026 有 4 篇规划安全论文，上一届是 5 篇。

ICML 2026 有多少篇规划安全论文？

ICML 2026 有 8 篇规划安全论文，上一届是 7 篇。

CVPR 2026 有多少篇规划安全论文？

CVPR 2026 有 4 篇规划安全论文。

哪个会议的规划安全论文最多？

NeurIPS，2023–2026 年共 59 篇。