Kernel Fusion papers, 2023–2026

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.

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 1 of 5

1. CVPR 2026Bridging RGB and Hematoxylin Components An Interleaved Guidance and Fusion
2. CVPR 2026CryoKRAQEN Kernel-Regularized Annealing for Quantized Embedding Networks in Cryo-EM Heterogeneous
3. CVPR 2026Decoding 3D Perception via BrainSSD Synergistic Fusion of EEG Representations
4. CVPR 2026DPGF-Net Dual-Prior Guided Fusion Network for Joint Assessment of Perceptual
5. CVPR 2026Enhancing Unregistered Hyperspectral Image Super-Resolution via Unmixing-based Abundance Fusion Learning
6. CVPR 2026Exposing Functional Fusion A New Class of Strategic Backdoor in
7. CVPR 2026GeoSURGE Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings
8. CVPR 2026Hierarchical Point-Patch Fusion with Adaptive Patch Codebook for 3D Shape
9. CVPR 2026Hybrid Robust Collaborative Perception with LiDAR-4D Radar Fusion under Adverse
10. CVPR 2026More Than Meets the Eye A Unified Image Fusion Framework
11. CVPR 2026The Drift Kernel Why Diffusion Models Change Even When Told
12. CVPR 2026TTAPFormer Robust Arbitrary Point Tracking via Transient Asynchronous Fusion of
13. ICLR 2026DP-Fusion: Token-Level Differentially Private Inference for Large Language Models
14. ICLR 2026LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
15. ICLR 2026Log-Linear Attention
16. ICLR 2026PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint Reconstruction
17. ICLR 2026Probabilistic Kernel Function for Fast Angle Testing
18. ICLR 2026Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence Guarantees
19. ICLR 2026SNaX: sparse narrow accelerated mixture of experts
20. ICLR 2026Subspace Kernel Learning on Tensor Sequences
21. ICLR 2026Training-Free Determination of Network Width via Neural Tangent Kernel
22. ICML 2026Are Two Datasets Close Enough With Statistical Significance? A Kernel Distributional Closeness Testing Approach
23. ICML 2026Asymmetric conformal prediction with penalized kernel sum-of-squares
24. ICML 2026Dimensionality Reduction with Point-distributions Similarity Invariant
25. ICML 2026Diversity-Aware Recursive Feature Multiple Kernel Learning
26. ICML 2026Even Faster Kernel Matrix Linear Algebra via Density Estimation
27. ICML 2026Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
28. ICML 2026Finite-Width Neural Tangent Kernels from Feynman Diagrams
29. ICML 2026Kernel-based Maximum-of-difference Test for Two-sample Comparison
30. ICML 2026Model Fusion via Retrofitting
31. ICML 2026New Bounds for Kernel Sums via Fast Spherical Embeddings
32. ICML 2026Preserving Plasticity in Continual Learning via Dynamical Isometry
33. ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
34. ICML 2026UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations
35. NeurIPS 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
36. NeurIPS 2026Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
37. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
38. NeurIPS 2026Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
39. NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
40. NeurIPS 2026Fusion or Confusion? Multimodal Complexity Is Not All You Need
41. NeurIPS 2026Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
42. NeurIPS 2026Kernel-Gradient Drifting Models
43. NeurIPS 2026Mini-batch kernel $k$-means
44. NeurIPS 2026Near-Optimal Regret in Adversarial Kernel Bandits
45. NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
46. NeurIPS 2026ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
47. NeurIPS 2026Sparse Attention as Compact Kernel Regression
48. NeurIPS 2026Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall
49. CVPR 2025Deformable Radial Kernel Splatting
50. CVPR 2025Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos

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.