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 25 篇,第 1 / 1 页
- ICML 2026A proximal ADMM for multiblock problems with block anti-upper triangular constraints
- ICML 2026A Theory of Data Acquisition and Pricing at Scale
- ICML 2026Abductive Reasoning with Probabilistic Commonsense
- ICML 2026Align Forward, Adapt Backward: Closing the Discretization Gap in Logic Gate Networks
- ICML 2026CAffNet: Hard Constraint-Affine Neural Networks
- ICML 2026Capacitated Fair-Range Clustering: Hardness and Approximation Algorithms
- ICML 2026DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers
- ICML 2026Geometric Coherence Learning for Structuring Value Functions in Plain MDPs
- ICML 2026HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench
- ICML 2026KANFIS: A Neuro-Symbolic Framework for Interpretable and Uncertainty-Aware Learning
- ICML 2026Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations
- ICML 2026Learning the Best Under Constraints: A Duality-Based Framework
- ICML 2026Length Generalization Bounds for Transformers
- ICML 2026Lifting Traces to Logic: Programmatic Skill Induction with Neuro-Symbolic Learning for Long-Horizon Agentic Tasks
- ICML 2026Logical Guidance for the Exact Composition of Diffusion Models
- ICML 2026Message Passing on the Edge: Towards Scalable and Expressive GNNs
- ICML 2026Nash Equilibria in Games with Playerwise Concave Coupling Constraints: Existence and Computation
- ICML 2026Plug-and-Play Spiking Operators: Breaking the Nonlinearity Bottleneck in Spiking Transformers
- ICML 2026Reward Under Attack: Analyzing the Robustness and Hackability of Process Reward Models
- ICML 2026The Geometry of Projection Heads: Conditioning, Invariance, and Collapse
- ICML 2026The Pareto-optimal Trade-off between Regret and Statistical Inference in Linear Stochastic Bandits under Safety Constraints
- ICML 2026The Theory and Practice of MAP Inference over Non-Convex Constraints
- ICML 2026Towards Achieving Optimal Strong Regret and Constraint Violation via Computationally Efficient Model-free RL
- ICML 2026Two-Stage Unit Tying for Simplifying Differentiable Logic Gate Networks
- ICML 2026Unlearning in Diffusion Models: A Unified Framework with KL Divergence and Likelihood Constraints
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。