可微推理论文趋势 2023–2026

主要结论

• 可微推理论文从 2023 年的 31 篇增长到 2026 年的 79 篇，三年间扩大到约 2.5 倍。
• NeurIPS 是发可微推理论文最多的会议，2023–2026 年共 65 篇，占四个会议总量的 35%。
• 交叉方向里涨得最快的是数学推理：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 29 篇。
• 在「神经符号」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的数学推理是 10 倍，可微推理是 2.5 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 2026Beyond MSE: Differentiable Complexity Priors for Structure-Preserving Neural Denoising
• ICML 2026Differentiable Conformal Training for LLM Reasoning Factuality
• ICLR 2026$\boldsymbol{\partial^\infty}$-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids
• CVPR 2026D-Convexity A Unified Differentiable Convex Shape Prior via Quasi-Concavity for
• NeurIPS 2025Consistency Conditions for Differentiable Surrogate Losses
• ICML 2025DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation
• ICLR 2025Analytic DAG Constraints for Differentiable DAG Learning
• CVPR 2025Differentiable Inverse Rendering with Interpretable Basis BRDFs
• NeurIPS 2024DeiSAM: Segment Anything with Deictic Prompting
• ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
• ICLR 2024Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
• CVPR 2024Differentiable Display Photometric Stereo
• NeurIPS 2023Differentiable Clustering with Perturbed Spanning Forests
• ICML 2023End-to-end Differentiable Clustering with Associative Memories
• ICLR 2023Learning Group Importance using the Differentiable Hypergeometric Distribution
• CVPR 2023Deep Learning of Partial Graph Matching via Differentiable Top-K
• NeurIPS 2026Differentiable Exact Learning of Algorithms
• ICML 2026Hide&Seek: Learning to Explain in an End-to-End Differentiable Network
• ICLR 2026Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity
• CVPR 2026DiffBMP Differentiable Rendering with Bitmap Primitives

全部可微推理论文

共 20 篇，第 1 / 1 页

1. CVPR 2026D-Convexity A Unified Differentiable Convex Shape Prior via Quasi-Concavity for
2. CVPR 2026DiffBMP Differentiable Rendering with Bitmap Primitives
3. CVPR 2026Differentiable Adaptive 4D Structured Illumination for Joint Capture of Shape
4. CVPR 2026Differentiable Laplacian Matrix Guided Superpixel Segmentation
5. CVPR 2026DiffSoup Direct Differentiable Rasterization of Triangle Soup for Extreme Radiance
6. CVPR 2026GeoCoT Towards Reliable Remote Sensing Reasoning with Manifold Perspective
7. CVPR 2026Geoint-R1 Formalizing Multimodal Geometric Reasoning with Dynamic Auxiliary Constructions
8. CVPR 2026Hermite Radial Basis Function for Surface Reconstruction via Differentiable Rendering
9. CVPR 2026Learning Differentiable Hierarchies in 3D Gaussian Splatting
10. CVPR 2026Lens Component Deletion based on Differentiable Ray Tracing
11. CVPR 2026MeshSplatting Differentiable Rendering with Opaque Meshes
12. CVPR 2026MVInverse Feed-forward Multiview Inverse Rendering in Seconds
13. CVPR 2026Parallelised Differentiable Straightest Geodesics for 3D Meshes
14. CVPR 2026Perceiving the Near Reasoning the Distant Coherent Long-Horizon Trajectory Prediction
15. CVPR 2026Proof-of-Perception Certified Tool-Using Multimodal Reasoning with Compositional Conformal Guarantees
16. CVPR 2026SPREAD Spatial-Physical REasoning via geometry Aware Diffusion
17. CVPR 2026Think with 3D Geometric Imagination Grounded Spatial Reasoning from Limited
18. CVPR 2026Towards Reasoning-Preserving Unlearning in Multimodal Large Language Models
19. CVPR 2026Visual-RRT Finding Paths toward Visual-Goals via Differentiable Rendering
20. CVPR 2026When Visualizing is the First Step to Reasoning MIRA a

常见问题

2023–2026 年四大会议一共有多少篇可微推理论文？

共 185 篇，按年份分别是 2023 年 31 篇、2024 年 29 篇、2025 年 46 篇、2026 年 79 篇。

NeurIPS 2026 有多少篇可微推理论文？

NeurIPS 2026 有 28 篇可微推理论文，上一届是 22 篇。

ICLR 2026 有多少篇可微推理论文？

ICLR 2026 有 16 篇可微推理论文，上一届是 13 篇。

ICML 2026 有多少篇可微推理论文？

ICML 2026 有 14 篇可微推理论文，上一届是 5 篇。

CVPR 2026 有多少篇可微推理论文？

CVPR 2026 有 21 篇可微推理论文，上一届是 6 篇。

哪个会议的可微推理论文最多？

NeurIPS，2023–2026 年共 65 篇。