Cover Image

Large Convolutional Model Tuning via Filter Subspace

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Wei, Miao, Zichen, Qiu, Qiang
Format:	Preprint
Published:	2024
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

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models
by: Miao, Zichen, et al.
Published: (2025)

Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter
by: Wei, Lai, et al.
Published: (2024)

Sparse Fine-Tuning of Transformers for Generative Tasks
by: Chen, Wei, et al.
Published: (2025)

Safe and Reliable Diffusion Models via Subspace Projection
by: Chen, Huiqiang, et al.
Published: (2025)

SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026)

Large-Scale Riemannian Meta-Optimization via Subspace Adaptation
by: Yu, Peilin, et al.
Published: (2025)

Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
by: Wang, Peng, et al.
Published: (2024)

SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
by: Reza, Md Kaykobad, et al.
Published: (2026)

Almost for Free: Crafting Adversarial Examples with Convolutional Image Filters
by: Warnecke, Alexander, 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)

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models
by: Darabi, Nastaran, et al.
Published: (2025)

Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2024)

Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
by: Chen, Siyi, et al.
Published: (2024)

Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling
by: Wei, Yipan, et al.
Published: (2025)

Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
by: Kim, Jeeyung, et al.
Published: (2024)

ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
by: Gong, Zhendi, et al.
Published: (2022)

Exploring a Principled Framework for Deep Subspace Clustering
by: Meng, Xianghan, et al.
Published: (2025)

VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
by: Park, Jaekyun, et al.
Published: (2025)

Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning
by: Patel, Gaurav, et al.
Published: (2025)

Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization
by: Miao, Zichen, et al.
Published: (2024)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
by: Xu, Kunpeng, et al.
Published: (2025)

CERSA: Cumulative Energy-Retaining Subspace Adaptation for Memory-Efficient Fine-Tuning
by: Ge, Jingze, et al.
Published: (2026)

The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation
by: Lai, Guannan, et al.
Published: (2026)

Learning Visual-Semantic Subspace Representations
by: Moreira, Gabriel, et al.
Published: (2024)

Hier-COS: Making Deep Features Hierarchy-aware via Composition of Orthogonal Subspaces
by: Sani, Depanshu, et al.
Published: (2025)

Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, et al.
Published: (2025)

Continuous Subspace Optimization for Continual Learning
by: Cheng, Quan, et al.
Published: (2025)

Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting
by: Zhong, Jincheng, et al.
Published: (2024)

Subspace-Boosted Model Merging
by: Skorobogat, Ronald, et al.
Published: (2025)

Symbolic Graphics Programming with Large Language Models
by: Chen, Yamei, et al.
Published: (2025)

Rank Matters: Understanding and Defending Model Inversion Attacks via Low-Rank Feature Filtering
by: Yu, Hongyao, et al.
Published: (2024)

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

Understanding Dataset Distillation via Spectral Filtering
by: Bo, Deyu, et al.
Published: (2025)

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models
by: Hu, Rui, et al.
Published: (2025)

Multi-view Deep Subspace Clustering Networks
by: Zhu, Pengfei, et al.
Published: (2019)

CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
by: Wang, Zhengyi, et al.
Published: (2024)

Language Integration in Fine-Tuning Multimodal Large Language Models for Image-Based Regression
by: Jennings, Roy H., et al.
Published: (2025)

Rotation-Robust Regression with Convolutional Model Trees
by: Li, Hongyi, et al.
Published: (2026)

RANSAC Revisited: An Improved Algorithm for Robust Subspace Recovery under Adversarial and Noisy Corruptions
by: Chen, Guixian, et al.
Published: (2025)

Posterior sampling via Langevin dynamics based on generative priors
by: Purohit, Vishal, et al.
Published: (2024)