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
- ICML 2024Amortized Variational Deep Kernel Learning
- ICML 2024Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
- ICML 2024Characterizing Overfitting in Kernel Ridgeless Regression Through the Eigenspectrum
- ICML 2024Copula-Nested Spectral Kernel Network
- ICML 2024Deep Fusion: Efficient Network Training via Pre-trained Initializations
- ICML 2024DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
- ICML 2024Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion
- ICML 2024Generalization in Kernel Regression Under Realistic Assumptions
- ICML 2024High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
- ICML 2024Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?
- ICML 2024Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
- ICML 2024Kernel Semi-Implicit Variational Inference
- ICML 2024Kernel-Based Evaluation of Conditional Biological Sequence Models
- ICML 2024Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
- ICML 2024Neural-Kernel Conditional Mean Embeddings
- ICML 2024On the Consistency of Kernel Methods with Dependent Observations
- ICML 2024Optimal Kernel Quantile Learning with Random Features
- ICML 2024Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy
- ICML 2024Predictive Dynamic Fusion
- ICML 2024Quasi-Monte Carlo Features for Kernel Approximation
- ICML 2024Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
- ICML 2024Reward-Free Kernel-Based Reinforcement Learning
- ICML 2024Sampling in Unit Time with Kernel Fisher-Rao Flow
- ICML 2024Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation
- ICML 2024Sequential Kernel Goodness-of-fit Testing
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。