算子融合论文趋势 2023–2026

主要结论

• 算子融合论文从 2023 年的 51 篇降到 2026 年的 48 篇，热度在回落。
• NeurIPS 是发算子融合论文最多的会议，2023–2026 年共 73 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是传感融合：同时属于两个主题的论文从 2023 年的 2 篇增至 2026 年的 12 篇。
• 在「硬件与编译」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的端侧推理是 4.0 倍，算子融合是 0.9 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 Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
• ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
• ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
• CVPR 2026Bridging RGB and Hematoxylin Components An Interleaved Guidance and Fusion
• NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
• ICML 2025Equivariant Neural Tangent Kernels
• ICLR 2025DLEFT-MKC: Dynamic Late Fusion Multiple Kernel Clustering with Robust Tensor Learning via Min-Max Optimization
• CVPR 2025Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
• NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
• ICML 2024Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
• ICLR 2024Convolutional Deep Kernel Machines
• CVPR 2024Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-based 3D Semantic Scene Completion
• NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
• ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
• ICLR 2023A Kernel Perspective of Skip Connections in Convolutional Networks
• CVPR 2023Compacting Binary Neural Networks by Sparse Kernel Selection
• NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
• ICML 2026Even Faster Kernel Matrix Linear Algebra via Density Estimation
• ICLR 2026LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
• CVPR 2026CryoKRAQEN Kernel-Regularized Annealing for Quantized Embedding Networks in Cryo-EM Heterogeneous

全部算子融合论文

共 221 篇，第 5 / 5 页

201. ICML 2023KDEformer: Accelerating Transformers via Kernel Density Estimation
202. ICML 2023Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
203. ICML 2023Kernel QuantTree
204. ICML 2023NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
205. ICML 2023On the Optimality of Misspecified Kernel Ridge Regression
206. ICML 2023Optimal Convergence Rates for Agnostic Nyström Kernel Learning
207. ICML 2023Toward Large Kernel Models
208. NeurIPS 2023Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
209. NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
210. NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
211. NeurIPS 2023Designing Robust Transformers using Robust Kernel Density Estimation
212. NeurIPS 2023Gradient-Free Kernel Stein Discrepancy
213. NeurIPS 2023Kernel Quadrature with Randomly Pivoted Cholesky
214. NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
215. NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
216. NeurIPS 2023RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
217. NeurIPS 2023Statistical Insights into HSIC in High Dimensions
218. NeurIPS 2023Stein $\Pi$-Importance Sampling
219. NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
220. NeurIPS 2023Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
221. NeurIPS 2023Variational Weighting for Kernel Density Ratios

常见问题

2023–2026 年四大会议一共有多少篇算子融合论文？

共 221 篇，按年份分别是 2023 年 51 篇、2024 年 66 篇、2025 年 56 篇、2026 年 48 篇。

NeurIPS 2026 有多少篇算子融合论文？

NeurIPS 2026 有 14 篇算子融合论文，上一届是 25 篇。

ICLR 2026 有多少篇算子融合论文？

ICLR 2026 有 9 篇算子融合论文，上一届是 8 篇。

ICML 2026 有多少篇算子融合论文？

ICML 2026 有 13 篇算子融合论文，上一届是 14 篇。

CVPR 2026 有多少篇算子融合论文？

CVPR 2026 有 12 篇算子融合论文，上一届是 9 篇。

哪个会议的算子融合论文最多？

NeurIPS，2023–2026 年共 73 篇。