Kernel Fusion papers, 2023–2026
Fusion optimizations
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 221 papers are tagged with this topic.
Key findings
- Kernel Fusion fell from 51 papers in 2023 to 48 in 2026, so interest is cooling.
- NeurIPS publishes the most Kernel Fusion work: 73 papers from 2023 to 2026, 33% of the four-venue total.
- The fastest-growing overlap is with Sensor Fusion: papers tagged with both rose from 2 in 2023 to 12 in 2026.
- Among the 5 topics under Hardware and Compilers, it ranks #3 by 2026 paper count; the fastest grower in the group, Edge Inference, is up 4.0x versus 0.9x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 14 | 15 | 14 | 8 | 51 |
| 2024 | 20 | 12 | 25 | 9 | 66 |
| 2025 | 25 | 8 | 14 | 9 | 56 |
| 2026 | 14 | 9 | 13 | 12 | 48 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All Kernel Fusion papers
221 papers, page 5 of 5
- ICML 2023KDEformer: Accelerating Transformers via Kernel Density Estimation
- ICML 2023Kernel Logistic Regression Approximation of an Understandable ReLU Neural Network
- ICML 2023Kernel QuantTree
- ICML 2023NTK-approximating MLP Fusion for Efficient Language Model Fine-tuning
- ICML 2023On the Optimality of Misspecified Kernel Ridge Regression
- ICML 2023Optimal Convergence Rates for Agnostic Nyström Kernel Learning
- ICML 2023Toward Large Kernel Models
- NeurIPS 2023Calibration by Distribution Matching: Trainable Kernel Calibration Metrics
- NeurIPS 2023ContinuAR: Continuous Autoregression For Infinite-Fidelity Fusion
- NeurIPS 2023CosNet: A Generalized Spectral Kernel Network
- NeurIPS 2023Designing Robust Transformers using Robust Kernel Density Estimation
- NeurIPS 2023Gradient-Free Kernel Stein Discrepancy
- NeurIPS 2023Kernel Quadrature with Randomly Pivoted Cholesky
- NeurIPS 2023Kernel-Based Tests for Likelihood-Free Hypothesis Testing
- NeurIPS 2023Kernelized Cumulants: Beyond Kernel Mean Embeddings
- NeurIPS 2023RH-BrainFS: Regional Heterogeneous Multimodal Brain Networks Fusion Strategy
- NeurIPS 2023Statistical Insights into HSIC in High Dimensions
- NeurIPS 2023Stein $\Pi$-Importance Sampling
- NeurIPS 2023The Exact Sample Complexity Gain from Invariances for Kernel Regression
- NeurIPS 2023Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift
- NeurIPS 2023Variational Weighting for Kernel Density Ratios
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FAQ
- How many Kernel Fusion papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 221 in total: 51 in 2023, 66 in 2024, 56 in 2025, 48 in 2026.
- How many Kernel Fusion papers are at NeurIPS 2026?
- NeurIPS 2026 has 14 Kernel Fusion papers, versus 25 the year before.
- How many Kernel Fusion papers are at ICLR 2026?
- ICLR 2026 has 9 Kernel Fusion papers, versus 8 the year before.
- How many Kernel Fusion papers are at ICML 2026?
- ICML 2026 has 13 Kernel Fusion papers, versus 14 the year before.
- How many Kernel Fusion papers are at CVPR 2026?
- CVPR 2026 has 12 Kernel Fusion papers, versus 9 the year before.
- Which conference publishes the most Kernel Fusion papers?
- NeurIPS, with 73 papers from 2023 to 2026.