逻辑与神经论文趋势 2023–2026

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。

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 173 篇，第 2 / 4 页

51. NeurIPS 2025NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
52. NeurIPS 2025Neural Rule Lists: Learning Discretizations, Rules, and Order in One Go
53. NeurIPS 2025On Logic-based Self-Explainable Graph Neural Networks
54. NeurIPS 2025The Logical Expressiveness of Temporal GNNs via Two-Dimensional Product Logics
55. NeurIPS 2025Who You Are Matters: Bridging Interests and Social Roles via LLM-Enhanced Logic Recommendation
56. NeurIPS 2024A Compositional Atlas for Algebraic Circuits
57. NeurIPS 2024Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints
58. NeurIPS 2024BOLD: Boolean Logic Deep Learning
59. NeurIPS 2024Convolutional Differentiable Logic Gate Networks
60. NeurIPS 2024Enriching Disentanglement: From Logical Definitions to Quantitative Metrics
61. NeurIPS 2024From Unstructured Data to In-Context Learning: Exploring What Tasks Can Be Learned and When
62. NeurIPS 2024HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
63. NeurIPS 2024Learning Better Representations From Less Data For Propositional Satisfiability
64. NeurIPS 2024Learning to Handle Complex Constraints for Vehicle Routing Problems
65. NeurIPS 2024Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
66. NeurIPS 2024Logical characterizations of recurrent graph neural networks with reals and floats
67. NeurIPS 2024Masked Hard-Attention Transformers Recognize Exactly the Star-Free Languages
68. NeurIPS 2024Provably Safe Neural Network Controllers via Differential Dynamic Logic
69. NeurIPS 2024Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards
70. NeurIPS 2024Relational Concept Bottleneck Models
71. NeurIPS 2024Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz Constraints
72. NeurIPS 2024Reward Machines for Deep RL in Noisy and Uncertain Environments
73. NeurIPS 2024STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
74. NeurIPS 2024TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
75. NeurIPS 2023A Comprehensive Benchmark for Neural Human Radiance Fields
76. NeurIPS 2023A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
77. NeurIPS 2023A graphon-signal analysis of graph neural networks
78. NeurIPS 2023A Logic for Expressing Log-Precision Transformers
79. NeurIPS 2023A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation
80. NeurIPS 2023A Spectral Theory of Neural Prediction and Alignment
81. NeurIPS 2023Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
82. NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
83. NeurIPS 2023Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
84. NeurIPS 2023Automatic Integration for Spatiotemporal Neural Point Processes
85. NeurIPS 2023Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
86. NeurIPS 2023Bifurcations and loss jumps in RNN training
87. NeurIPS 2023Binarized Neural Machine Translation
88. NeurIPS 2023Binary Radiance Fields
89. NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
90. NeurIPS 2023Brant: Foundation Model for Intracranial Neural Signal
91. NeurIPS 2023Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
92. NeurIPS 2023Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
93. NeurIPS 2023Contextual Gaussian Process Bandits with Neural Networks
94. NeurIPS 2023Continuous Parametric Optical Flow
95. NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
96. NeurIPS 2023CP-SLAM: Collaborative Neural Point-based SLAM System
97. NeurIPS 2023CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
98. NeurIPS 2023Demystifying Oversmoothing in Attention-Based Graph Neural Networks
99. NeurIPS 2023Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
100. NeurIPS 2023Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power

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。