Cover Image

Kernelized Sparse Fine-Tuning with Bi-level Parameter Competition for Vision Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Shufan, Sun, Junshu, Wang, Shuhui, Huang, Qingming
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Expanding Sparse Tuning for Low Memory Usage
by: Shen, Shufan, et al.
Published: (2024)

VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
by: Shen, Shufan, et al.
Published: (2025)

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
by: Shen, Shufan, et al.
Published: (2025)

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation
by: Dang, Tiantian, et al.
Published: (2026)

Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)

Parameter-Efficient Fine-Tuning for Pre-Trained Vision Models: A Survey and Benchmark
by: Xin, Yi, et al.
Published: (2024)

Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
by: Sun, Guangyu, et al.
Published: (2022)

Preserving Domain Generalization in Fine-Tuning via Joint Parameter Selection
by: Pan, Bin, et al.
Published: (2025)

Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
by: Zhang, Mingyuan, et al.
Published: (2025)

Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
by: Ly, Son Thai, et al.
Published: (2024)

FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models
by: Zheng, Weiying, et al.
Published: (2025)

Fairness-Aware Fine-Tuning of Vision-Language Models for Medical Glaucoma Diagnosis
by: Gu, Zijian, et al.
Published: (2025)

LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
by: Zhang, Mingyang, et al.
Published: (2023)

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
by: Lee, Yeoreum, et al.
Published: (2025)

Edit Less, Achieve More: Dynamic Sparse Neuron Masking for Lifelong Knowledge Editing in LLMs
by: Liu, Jinzhe, et al.
Published: (2025)

Task-Specific Directions: Definition, Exploration, and Utilization in Parameter Efficient Fine-Tuning
by: Si, Chongjie, et al.
Published: (2024)

Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decomposition
by: Drozdova, Mariia, et al.
Published: (2024)

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios
by: Huang, Zhiyuan, et al.
Published: (2025)

Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification
by: Li, Ming, et al.
Published: (2024)

VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL
by: Dai, Fengyuan, et al.
Published: (2025)

GD-FPS: Growth-Driven Feedforward Parameter Selection for Efficient Fine-Tuning
by: Yang, Kenneth, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification
by: Chen, Daniel, et al.
Published: (2026)

Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
by: Ren, Li, et al.
Published: (2024)

Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer
by: Nagamori, Teru, et al.
Published: (2024)

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models
by: Tang, Yiwen, et al.
Published: (2023)

Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models
by: Shirkavand, Reza, et al.
Published: (2024)

When Is Rank-1 Enough? Geometry-Guided Initialization for Parameter-Efficient Fine-Tuning
by: Zhao, Haoran, et al.
Published: (2026)

Fine-Tuning a Large Vision-Language Model for Artwork's Scoring and Critique
by: Zhang, Zhehan, et al.
Published: (2026)

FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision-Language Models
by: Huang, Chenyu, et al.
Published: (2026)

pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models
by: Ghiasvand, Sajjad, et al.
Published: (2025)

SAM-PTx: Text-Guided Fine-Tuning of SAM with Parameter-Efficient, Parallel-Text Adapters
by: Jalilian, Shayan, et al.
Published: (2025)

Compact Vision Transformer by Reduction of Kernel Complexity
by: Wang, Yancheng, et al.
Published: (2025)

Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
by: Jie, Shibo, et al.
Published: (2024)

CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think
by: Sun, Zening, et al.
Published: (2026)

How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
by: Ming, Yifei, et al.
Published: (2023)

Rethinking Weight Decay for Robust Fine-Tuning of Foundation Models
by: Tian, Junjiao, et al.
Published: (2024)

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
by: Zhao, Linglan, et al.
Published: (2024)

Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023)

Towards Compatible Fine-tuning for Vision-Language Model Updates
by: Wang, Zhengbo, et al.
Published: (2024)

AEGIS: Anchor-Enforced Gradient Isolation for Knowledge-Preserving Vision-Language-Action Fine-Tuning
by: Singh, Guransh
Published: (2026)