逻辑与神经论文趋势 2023–2026
逻辑约束
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 366 篇被归入该主题的论文。
主要结论
- 逻辑与神经论文从 2023 年的 162 篇降到 2026 年的 86 篇，热度在回落。
- NeurIPS 是发逻辑与神经论文最多的会议，2023–2026 年共 173 篇，占四个会议总量的 47%。
- 交叉方向里涨得最快的是社会层面 · accountability transparency and interpretability：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 8 篇。
- 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的数学推理是 10 倍，逻辑与神经是 0.5 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 99 | 9 | 47 | 7 | 162 |
| 2024 | 19 | 6 | 28 | 11 | 64 |
| 2025 | 23 | 11 | 12 | 8 | 54 |
| 2026 | 32 | 20 | 25 | 9 | 86 |
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 2026B$^3$-PWL: GPU-Batched Branch-and-Bound for Piecewise-Linear Optimization with SOS2 Constraints
- ICML 2026Length Generalization Bounds for Transformers
- ICLR 2026From Neural Networks to Logical Theories: The Correspondence between Fibring Modal Logics and Fibring Neural Networks
- CVPR 2026Med-CMR A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic
- NeurIPS 2025Characterizing the Expressivity of Fixed-Precision Transformer Language Models
- ICML 2025Counterfactual Graphical Models: Constraints and Inference
- ICLR 2025Beyond the convexity assumption: Realistic tabular data generation under quantifier-free real linear constraints
- CVPR 2025Learning Affine Correspondences by Integrating Geometric Constraints
- NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
- ICML 2024A Field Guide for Pacing Budget and ROS Constraints
- ICLR 2024LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints
- CVPR 2024MS-MANO: Enabling Hand Pose Tracking with Biomechanical Constraints
- NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
- ICML 2023Eventual Discounting Temporal Logic Counterfactual Experience Replay
- ICLR 2023Global Explainability of GNNs via Logic Combination of Learned Concepts
- CVPR 2023Handy: Towards a High Fidelity 3D Hand Shape and Appearance Model
- NeurIPS 2026Batched Stochastic Linear Bandits with 1-Bit Communication Constraints
- ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
- ICLR 2026The Logical Expressiveness of Topological Neural Networks
- CVPR 2026NeuroRule Bridging Vision and Logic with Differentiable Rule Induction
全部逻辑与神经论文
共 23 篇，第 1 / 1 页
- NeurIPS 2025Automaton Constrained Q-Learning
- NeurIPS 2025Characterizing the Expressivity of Fixed-Precision Transformer Language Models
- NeurIPS 2025Codifying Character Logic in Role-Playing
- NeurIPS 2025Constrained Best Arm Identification
- NeurIPS 2025DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints
- NeurIPS 2025Efficient Allocation of Working Memory Resource for Utility Maximization in Humans and Recurrent Neural Networks
- NeurIPS 2025Embeddings as Probabilistic Equivalence in Logic Programs
- NeurIPS 2025Enforcing convex constraints in Graph Neural Networks
- NeurIPS 2025ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs
- NeurIPS 2025Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
- NeurIPS 2025Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism
- NeurIPS 2025Imitation Learning with Temporal Logic Constraints
- NeurIPS 2025Knee-Deep in C-RASP: A Transformer Depth Hierarchy
- NeurIPS 2025LLM Query Scheduling with Prefix Reuse and Latency Constraints
- NeurIPS 2025Logic.py: Bridging the Gap between LLMs and Constraint Solvers
- NeurIPS 2025Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
- NeurIPS 2025Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks
- NeurIPS 2025Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
- NeurIPS 2025NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
- NeurIPS 2025Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
- NeurIPS 2025On Logic-based Self-Explainable Graph Neural Networks
- NeurIPS 2025The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
- NeurIPS 2025Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
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 查逻辑与神经在 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": "logic-and-neural"}
常见问题
- 2023–2026 年四大会议一共有多少篇逻辑与神经论文？
- 共 366 篇，按年份分别是 2023 年 162 篇、2024 年 64 篇、2025 年 54 篇、2026 年 86 篇。
- NeurIPS 2026 有多少篇逻辑与神经论文？
- NeurIPS 2026 有 32 篇逻辑与神经论文，上一届是 23 篇。
- ICLR 2026 有多少篇逻辑与神经论文？
- ICLR 2026 有 20 篇逻辑与神经论文，上一届是 11 篇。
- ICML 2026 有多少篇逻辑与神经论文？
- ICML 2026 有 25 篇逻辑与神经论文，上一届是 12 篇。
- CVPR 2026 有多少篇逻辑与神经论文？
- CVPR 2026 有 9 篇逻辑与神经论文，上一届是 8 篇。
- 哪个会议的逻辑与神经论文最多？
- NeurIPS，2023–2026 年共 173 篇。