MCTS论文趋势 2023–2026

搜索与 MCTS

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 773 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

MCTS论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
202344273014115
202459344110144
2025100497512236
2026996010514278

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

全部MCTS论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 251 篇，第 5 / 6 页

  1. ICML 2024Integrated Hardware Architecture and Device Placement Search
  2. ICML 2024Iterative Search Attribution for Deep Neural Networks
  3. ICML 2024Kernel Semi-Implicit Variational Inference
  4. ICML 2024Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models
  5. ICML 2024Listening to the noise: Blind Denoising with Gibbs Diffusion
  6. ICML 2024MD tree: a model-diagnostic tree grown on loss landscape
  7. ICML 2024Neural Tangent Kernels for Axis-Aligned Tree Ensembles
  8. ICML 2024Online Variational Sequential Monte Carlo
  9. ICML 2024Parallel Affine Transformation Tuning of Markov Chain Monte Carlo
  10. ICML 2024Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  11. ICML 2024Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory
  12. ICML 2024Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
  13. ICML 2024Probabilistic Routing for Graph-Based Approximate Nearest Neighbor Search
  14. ICML 2024Provably Efficient Long-Horizon Exploration in Monte Carlo Tree Search through State Occupancy Regularization
  15. ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
  16. ICML 2024Reinforcement Learning within Tree Search for Fast Macro Placement
  17. ICML 2024Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
  18. ICML 2024Sliced Wasserstein with Random-Path Projecting Directions
  19. ICML 2024Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
  20. ICML 2024Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers
  21. ICML 2024tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
  22. ICML 2023A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree
  23. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
  24. ICML 2023Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
  25. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
  26. ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
  27. ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
  28. ICML 2023Automatic Data Augmentation via Invariance-Constrained Learning
  29. ICML 2023Beam Tree Recursive Cells
  30. ICML 2023Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
  31. ICML 2023Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
  32. ICML 2023Differentiable Tree Operations Promote Compositional Generalization
  33. ICML 2023Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
  34. ICML 2023Extrapolated Random Tree for Regression
  35. ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
  36. ICML 2023Input uncertainty propagation through trained neural networks
  37. ICML 2023Neural Markov Jump Processes
  38. ICML 2023Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
  39. ICML 2023On Computing Optimal Tree Ensembles
  40. ICML 2023On Sampling with Approximate Transport Maps
  41. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
  42. ICML 2023Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
  43. ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
  44. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
  45. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
  46. ICML 2023Scalable Safe Policy Improvement via Monte Carlo Tree Search
  47. ICML 2023Sequential Monte Carlo Learning for Time Series Structure Discovery
  48. ICML 2023Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
  49. ICML 2023Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
  50. ICML 2023Truncating Trajectories in Monte Carlo Reinforcement Learning

在 Claude、Cursor 里直接问这个趋势

接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查MCTS在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "monte-carlo-tree-search"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

常见问题

2023–2026 年四大会议一共有多少篇MCTS论文？
共 773 篇，按年份分别是 2023 年 115 篇、2024 年 144 篇、2025 年 236 篇、2026 年 278 篇。
NeurIPS 2026 有多少篇MCTS论文？
NeurIPS 2026 有 99 篇MCTS论文，上一届是 100 篇。
ICLR 2026 有多少篇MCTS论文？
ICLR 2026 有 60 篇MCTS论文，上一届是 49 篇。
ICML 2026 有多少篇MCTS论文？
ICML 2026 有 105 篇MCTS论文，上一届是 75 篇。
CVPR 2026 有多少篇MCTS论文？
CVPR 2026 有 14 篇MCTS论文，上一届是 12 篇。
哪个会议的MCTS论文最多？
NeurIPS，2023–2026 年共 302 篇。

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