KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Haiduo, Zhang, Yadong, Xu, Yinghui, Ren, Pengju |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
by: Huang, Haiduo, et al.
Published: (2025)
by: Huang, Haiduo, et al.
Published: (2025)
Partial Channel Network: Compute Fewer, Perform Better
by: Huang, Haiduo, et al.
Published: (2025)
by: Huang, Haiduo, et al.
Published: (2025)
KernelWarehouse: Rethinking the Design of Dynamic Convolution
by: Li, Chao, et al.
Published: (2024)
by: Li, Chao, et al.
Published: (2024)
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
by: Zhang, Yiyuan, et al.
Published: (2024)
by: Zhang, Yiyuan, et al.
Published: (2024)
Nearly Lossless Adaptive Bit Switching
by: Huang, Haiduo, et al.
Published: (2025)
by: Huang, Haiduo, et al.
Published: (2025)
GeGS-PCR: Effective and Robust 3D Point Cloud Registration with Two-Stage Color-Enhanced Geometric-3DGS Fusion
by: Tian, Jiayi, et al.
Published: (2026)
by: Tian, Jiayi, et al.
Published: (2026)
Subspace Kernel Learning on Tensor Sequences
by: Wang, Lei, et al.
Published: (2026)
by: Wang, Lei, et al.
Published: (2026)
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
by: Tong, Jintao, et al.
Published: (2025)
by: Tong, Jintao, et al.
Published: (2025)
Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel
by: Zhu, Ye, et al.
Published: (2019)
by: Zhu, Ye, et al.
Published: (2019)
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics
by: Zhang, Kuntian, et al.
Published: (2025)
by: Zhang, Kuntian, et al.
Published: (2025)
SpecVLM: Fast Speculative Decoding in Vision-Language Models
by: Huang, Haiduo, et al.
Published: (2025)
by: Huang, Haiduo, et al.
Published: (2025)
IDEA: Image Description Enhanced CLIP-Adapter
by: Ye, Zhipeng, et al.
Published: (2025)
by: Ye, Zhipeng, et al.
Published: (2025)
Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
by: Teo, Rachel S. Y., et al.
Published: (2024)
by: Teo, Rachel S. Y., et al.
Published: (2024)
VidTwin: Video VAE with Decoupled Structure and Dynamics
by: Wang, Yuchi, et al.
Published: (2024)
by: Wang, Yuchi, et al.
Published: (2024)
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
by: Chen, Yingyi, et al.
Published: (2024)
by: Chen, Yingyi, et al.
Published: (2024)
Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)
by: Li, Jiashuo, et al.
Published: (2024)
Verification of Neural Networks against Convolutional Perturbations via Parameterised Kernels
by: Brückner, Benedikt, et al.
Published: (2024)
by: Brückner, Benedikt, et al.
Published: (2024)
When Training-Free NAS Meets Vision Transformer: A Neural Tangent Kernel Perspective
by: Zhou, Qiqi, et al.
Published: (2024)
by: Zhou, Qiqi, et al.
Published: (2024)
Naïve PAINE: Lightweight Text-to-Image Generation Improvement with Prompt Evaluation
by: Kim, Joong Ho, et al.
Published: (2026)
by: Kim, Joong Ho, et al.
Published: (2026)
AdapterTune: Zero-Initialized Low-Rank Adapters for Frozen Vision Transformers
by: Khazem, Salim
Published: (2026)
by: Khazem, Salim
Published: (2026)
NAKUL-Med: Spectral-Graph State Space Models with Dynamics Kernels for Medical Signals
by: Patro, Badri N., et al.
Published: (2026)
by: Patro, Badri N., et al.
Published: (2026)
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
by: Ye, Yilin, et al.
Published: (2025)
by: Ye, Yilin, et al.
Published: (2025)
ProKeR: A Kernel Perspective on Few-Shot Adaptation of Large Vision-Language Models
by: Bendou, Yassir, et al.
Published: (2025)
by: Bendou, Yassir, et al.
Published: (2025)
Partial Convolution Meets Visual Attention
by: Huang, Haiduo, et al.
Published: (2025)
by: Huang, Haiduo, et al.
Published: (2025)
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio, Video, Point Cloud, Time-Series and Image Recognition
by: Ding, Xiaohan, et al.
Published: (2023)
by: Ding, Xiaohan, et al.
Published: (2023)
RPN: Reconciled Polynomial Network Towards Unifying PGMs, Kernel SVMs, MLP and KAN
by: Zhang, Jiawei
Published: (2024)
by: Zhang, Jiawei
Published: (2024)
Continual Learning Using a Kernel-Based Method Over Foundation Models
by: Momeni, Saleh, et al.
Published: (2024)
by: Momeni, Saleh, et al.
Published: (2024)
DAM: Dynamic Adapter Merging for Continual Video QA Learning
by: Cheng, Feng, et al.
Published: (2024)
by: Cheng, Feng, et al.
Published: (2024)
Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter
by: Song, Suqi, et al.
Published: (2024)
by: Song, Suqi, et al.
Published: (2024)
ATLAS: Adapter-Based Multi-Modal Continual Learning with a Two-Stage Learning Strategy
by: Li, Hong, et al.
Published: (2024)
by: Li, Hong, et al.
Published: (2024)
Multi-Modal Adapter for Vision-Language Models
by: Seputis, Dominykas, et al.
Published: (2024)
by: Seputis, Dominykas, et al.
Published: (2024)
A Reproduction Study: The Kernel PCA Interpretation of Self-Attention Fails Under Scrutiny
by: Sarıtaş, Karahan, et al.
Published: (2025)
by: Sarıtaş, Karahan, et al.
Published: (2025)
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
by: Babaiee, Zahra, et al.
Published: (2024)
by: Babaiee, Zahra, et al.
Published: (2024)
ACD-CLIP: Decoupling Representation and Dynamic Fusion for Zero-Shot Anomaly Detection
by: Ma, Ke, et al.
Published: (2025)
by: Ma, Ke, et al.
Published: (2025)
Continual Diffusion with STAMINA: STack-And-Mask INcremental Adapters
by: Smith, James Seale, et al.
Published: (2023)
by: Smith, James Seale, et al.
Published: (2023)
Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
by: Xia, Shi-Yu, et al.
Published: (2024)
by: Xia, Shi-Yu, et al.
Published: (2024)
Direct Product Flow Matching: Decoupling Radial and Angular Dynamics for Few-Shot Adaptation
by: Chen, Hongxu, et al.
Published: (2026)
by: Chen, Hongxu, et al.
Published: (2026)
Efficient Multi-turn RL for GUI Agents via Decoupled Training and Adaptive Data Curation
by: Li, Pengxiang, et al.
Published: (2025)
by: Li, Pengxiang, et al.
Published: (2025)
Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
by: Liu, Bochao, et al.
Published: (2026)
by: Liu, Bochao, et al.
Published: (2026)
RIDE: Retinex-Informed Decoupling for Exposing Concealed Objects
by: He, Chunming, et al.
Published: (2026)
by: He, Chunming, et al.
Published: (2026)
Similar Items
-
DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
by: Huang, Haiduo, et al.
Published: (2025) -
Partial Channel Network: Compute Fewer, Perform Better
by: Huang, Haiduo, et al.
Published: (2025) -
KernelWarehouse: Rethinking the Design of Dynamic Convolution
by: Li, Chao, et al.
Published: (2024) -
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
by: Zhang, Yiyuan, et al.
Published: (2024) -
Nearly Lossless Adaptive Bit Switching
by: Huang, Haiduo, et al.
Published: (2025)