算子融合论文趋势 2023–2026
融合优化
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 221 篇被归入该主题的论文。
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。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 14 | 15 | 14 | 8 | 51 |
| 2024 | 20 | 12 | 25 | 9 | 66 |
| 2025 | 25 | 8 | 14 | 9 | 56 |
| 2026 | 14 | 9 | 13 | 12 | 48 |
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 25 篇，第 1 / 1 页
- NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
- NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
- NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
- NeurIPS 2025Computational Efficiency under Covariate Shift in Kernel Ridge Regression
- NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
- NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
- NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
- NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
- NeurIPS 2025FlashMoE: Fast Distributed MoE in a Single Kernel
- NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
- NeurIPS 2025Just One Layer Norm Guarantees Stable Extrapolation
- NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
- NeurIPS 2025Kernel von Mises Formula of the Influence Function
- NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
- NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
- NeurIPS 2025MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
- NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
- NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
- NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
- NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
- NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
- NeurIPS 2025Scalable Signature Kernel Computations via Local Neumann Series Expansions
- NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
- NeurIPS 2025Uncertainty Quantification with the Empirical Neural Tangent Kernel
- NeurIPS 2025When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product
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 查算子融合在 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": "kernel-fusion"}
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。