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

73 papers, page 1 of 2

1. NeurIPS 2026Beyond Adjacent Layers: Graph-Guided Layer Fusion for Compressing Large Language Models
2. NeurIPS 2026Beyond Modality Fusion: Deep Ensembles for Multimodal Classification
3. NeurIPS 2026Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning
4. NeurIPS 2026Flexformer: Flexible Linear Transformer with Learnable Attention Kernel
5. NeurIPS 2026Flow-based Spectral Kernel Learning for Nonstationary Attention
6. NeurIPS 2026Fusion or Confusion? Multimodal Complexity Is Not All You Need
7. NeurIPS 2026Kernel Selection is Model Selection: A Unified Complexity-Penalised Approach for MMD Two-Sample Tests
8. NeurIPS 2026Kernel-Gradient Drifting Models
9. NeurIPS 2026Mini-batch kernel $k$-means
10. NeurIPS 2026Near-Optimal Regret in Adversarial Kernel Bandits
11. NeurIPS 2026Optimal algorithmic complexity of inference in quantum kernel methods
12. NeurIPS 2026ReVMap: Vectorized Global Mapping via Connectivity-Aware Local Map Fusion
13. NeurIPS 2026Sparse Attention as Compact Kernel Regression
14. NeurIPS 2026Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall
15. NeurIPS 2025Anchor-based Maximum Discrepancy for Relative Similarity Testing
16. NeurIPS 2025Beyond Benign Overfitting in Nadaraya-Watson Interpolators
17. NeurIPS 2025ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive
18. NeurIPS 2025Computational Efficiency under Covariate Shift in Kernel Ridge Regression
19. NeurIPS 2025Conditional Distribution Compression via the Kernel Conditional Mean Embedding
20. NeurIPS 2025Diversifying Parallel Ergodic Search: A Signature Kernel Evolution Strategy
21. NeurIPS 2025Fast Training of Large Kernel Models with Delayed Projections
22. NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
23. NeurIPS 2025FlashMoE: Fast Distributed MoE in a Single Kernel
24. NeurIPS 2025Hierarchical Shortest-Path Graph Kernel Network
25. NeurIPS 2025Just One Layer Norm Guarantees Stable Extrapolation
26. NeurIPS 2025Kernel conditional tests from learning-theoretic bounds
27. NeurIPS 2025Kernel von Mises Formula of the Influence Function
28. NeurIPS 2025Learning Provably Improves the Convergence of Gradient Descent
29. NeurIPS 2025Linearization Explains Fine-Tuning in Large Language Models
30. NeurIPS 2025MANGO: Multimodal Attention-based Normalizing Flow Approach to Fusion Learning
31. NeurIPS 2025Multi-Kernel Correlation-Attention Vision Transformer for Enhanced Contextual Understanding and Multi-Scale Integration
32. NeurIPS 2025On the Hardness of Conditional Independence Testing In Practice
33. NeurIPS 2025Optimal kernel regression bounds under energy-bounded noise
34. NeurIPS 2025Regularized least squares learning with heavy-tailed noise is minimax optimal
35. NeurIPS 2025Reproducing Kernel Banach Space Models for Neural Networks with Application to Rademacher Complexity Analysis
36. NeurIPS 2025Scalable Signature Kernel Computations via Local Neumann Series Expansions
37. NeurIPS 2025SD-KDE: Score-Debiased Kernel Density Estimation
38. NeurIPS 2025Uncertainty Quantification with the Empirical Neural Tangent Kernel
39. NeurIPS 2025When Kernels Multiply, Clusters Unify: Fusing Embeddings with the Kronecker Product
40. NeurIPS 2024A Comprehensive Analysis on the Learning Curve in Kernel Ridge Regression
41. NeurIPS 2024A generalized neural tangent kernel for surrogate gradient learning
42. NeurIPS 2024A Kernel Perspective on Distillation-based Collaborative Learning
43. NeurIPS 2024ACFun: Abstract-Concrete Fusion Facial Stylization
44. NeurIPS 2024Efficient Convex Algorithms for Universal Kernel Learning
45. NeurIPS 2024Error Correction Output Codes for Robust Neural Networks against Weight-errors: A Neural Tangent Kernel Point of View
46. NeurIPS 2024Fair Kernel K-Means: from Single Kernel to Multiple Kernel
47. NeurIPS 2024Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
48. NeurIPS 2024Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
49. NeurIPS 2024Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
50. NeurIPS 2024Learning to Embed Distributions via Maximum Kernel Entropy

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.