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 99 篇,第 1 / 2 页
- NeurIPS 2023A Comprehensive Benchmark for Neural Human Radiance Fields
- NeurIPS 2023A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains
- NeurIPS 2023A graphon-signal analysis of graph neural networks
- NeurIPS 2023A Logic for Expressing Log-Precision Transformers
- NeurIPS 2023A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation
- NeurIPS 2023A Spectral Theory of Neural Prediction and Alignment
- NeurIPS 2023Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons
- NeurIPS 2023Aligning Gradient and Hessian for Neural Signed Distance Function
- NeurIPS 2023Amortized Reparametrization: Efficient and Scalable Variational Inference for Latent SDEs
- NeurIPS 2023Automatic Integration for Spatiotemporal Neural Point Processes
- NeurIPS 2023Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis
- NeurIPS 2023Bifurcations and loss jumps in RNN training
- NeurIPS 2023Binarized Neural Machine Translation
- NeurIPS 2023Binary Radiance Fields
- NeurIPS 2023Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints
- NeurIPS 2023Brant: Foundation Model for Intracranial Neural Signal
- NeurIPS 2023Conditional Distribution Function Estimation Using Neural Networks for Censored and Uncensored Data
- NeurIPS 2023Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars
- NeurIPS 2023Contextual Gaussian Process Bandits with Neural Networks
- NeurIPS 2023Continuous Parametric Optical Flow
- NeurIPS 2023Convergence of mean-field Langevin dynamics: time-space discretization, stochastic gradient, and variance reduction
- NeurIPS 2023CP-SLAM: Collaborative Neural Point-based SLAM System
- NeurIPS 2023CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels
- NeurIPS 2023Demystifying Oversmoothing in Attention-Based Graph Neural Networks
- NeurIPS 2023Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
- NeurIPS 2023Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
- NeurIPS 2023DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization
- NeurIPS 2023Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks
- NeurIPS 2023Evolutionary Neural Architecture Search for Transformer in Knowledge Tracing
- NeurIPS 2023Facilitating Graph Neural Networks with Random Walk on Simplicial Complexes
- NeurIPS 2023From Tempered to Benign Overfitting in ReLU Neural Networks
- NeurIPS 2023Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks
- NeurIPS 2023GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
- NeurIPS 2023Generalised f-Mean Aggregation for Graph Neural Networks
- NeurIPS 2023Generalizable One-shot 3D Neural Head Avatar
- NeurIPS 2023GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
- NeurIPS 2023GNeSF: Generalizable Neural Semantic Fields
- NeurIPS 2023Hierarchically Gated Recurrent Neural Network for Sequence Modeling
- NeurIPS 2023How do Minimum-Norm Shallow Denoisers Look in Function Space?
- NeurIPS 2023Individualized Dosing Dynamics via Neural Eigen Decomposition
- NeurIPS 2023Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
- NeurIPS 2023Investigating how ReLU-networks encode symmetries
- NeurIPS 2023LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
- NeurIPS 2023LightSpeed: Light and Fast Neural Light Fields on Mobile Devices
- NeurIPS 2023MeCo: Zero-Shot NAS with One Data and Single Forward Pass via Minimum Eigenvalue of Correlation
- NeurIPS 2023MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
- NeurIPS 2023Minimum norm interpolation by perceptra: Explicit regularization and implicit bias
- NeurIPS 2023Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
- NeurIPS 2023Modulated Neural ODEs
- NeurIPS 2023NAVI: Category-Agnostic Image Collections with High-Quality 3D Shape and Pose Annotations
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。