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 773 篇，第 15 / 16 页

  1. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
  2. ICML 2023Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations
  3. ICML 2023Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
  4. ICML 2023Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?
  5. ICML 2023Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
  6. ICML 2023Automatic Data Augmentation via Invariance-Constrained Learning
  7. ICML 2023Beam Tree Recursive Cells
  8. ICML 2023Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic
  9. ICML 2023Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search
  10. ICML 2023Differentiable Tree Operations Promote Compositional Generalization
  11. ICML 2023Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks
  12. ICML 2023Extrapolated Random Tree for Regression
  13. ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
  14. ICML 2023Input uncertainty propagation through trained neural networks
  15. ICML 2023Neural Markov Jump Processes
  16. ICML 2023Off-Policy Average Reward Actor-Critic with Deterministic Policy Search
  17. ICML 2023On Computing Optimal Tree Ensembles
  18. ICML 2023On Sampling with Approximate Transport Maps
  19. ICML 2023Opponent-Limited Online Search for Imperfect Information Games
  20. ICML 2023Optimal randomized multilevel Monte Carlo for repeatedly nested expectations
  21. ICML 2023QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark
  22. ICML 2023QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms
  23. ICML 2023Rethink DARTS Search Space and Renovate a New Benchmark
  24. ICML 2023Scalable Safe Policy Improvement via Monte Carlo Tree Search
  25. ICML 2023Sequential Monte Carlo Learning for Time Series Structure Discovery
  26. ICML 2023Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search
  27. ICML 2023Structure Learning of Latent Factors via Clique Search on Correlation Thresholded Graphs
  28. ICML 2023Truncating Trajectories in Monte Carlo Reinforcement Learning
  29. ICML 2023Vector-Valued Control Variates
  30. NeurIPS 2023A Heavy-Tailed Algebra for Probabilistic Programming
  31. NeurIPS 2023Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction
  32. NeurIPS 2023Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
  33. NeurIPS 2023An Efficient and Robust Framework for Approximate Nearest Neighbor Search with Attribute Constraint
  34. NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
  35. NeurIPS 2023Contextual Stochastic Bilevel Optimization
  36. NeurIPS 2023DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
  37. NeurIPS 2023Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models
  38. NeurIPS 2023EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis
  39. NeurIPS 2023Empowering Convolutional Neural Nets with MetaSin Activation
  40. NeurIPS 2023Energy-Based Sliced Wasserstein Distance
  41. NeurIPS 2023FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation
  42. NeurIPS 2023Fitting trees to $\ell_1$-hyperbolic distances
  43. NeurIPS 2023Game Solving with Online Fine-Tuning
  44. NeurIPS 2023Generalized Weighted Path Consistency for Mastering Atari Games
  45. NeurIPS 2023Hierarchical clustering with dot products recovers hidden tree structure
  46. NeurIPS 2023History Filtering in Imperfect Information Games: Algorithms and Complexity
  47. NeurIPS 2023Inferring the Future by Imagining the Past
  48. NeurIPS 2023Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization
  49. NeurIPS 2023Knowledge Distillation for High Dimensional Search Index
  50. NeurIPS 2023LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas

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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