Weight Weaving: Parameter Pooling for Data-Free Model Merging
Fuente:
arXiv
Saved in:
| Main Authors: | Chaves, Levy, Valle, Eduardo, Avila, Sandra |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Domains through Subspace-Aware Model Merging
by: Chaves, Levy, et al.
Published: (2026)
by: Chaves, Levy, et al.
Published: (2026)
Back to the Basics on Predicting Transfer Performance
by: Chaves, Levy, et al.
Published: (2024)
by: Chaves, Levy, et al.
Published: (2024)
EMR-Merging: Tuning-Free High-Performance Model Merging
by: Huang, Chenyu, et al.
Published: (2024)
by: Huang, Chenyu, et al.
Published: (2024)
Learning to Weight Parameters for Training Data Attribution
by: Li, Shuangqi, et al.
Published: (2025)
by: Li, Shuangqi, et al.
Published: (2025)
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
by: Tang, Anke, et al.
Published: (2024)
by: Tang, Anke, et al.
Published: (2024)
Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging
by: Zheng, Shenghe, et al.
Published: (2025)
by: Zheng, Shenghe, et al.
Published: (2025)
Foundation Models Secretly Understand Neural Network Weights: Enhancing Hypernetwork Architectures with Foundation Models
by: Gu, Jeffrey, et al.
Published: (2025)
by: Gu, Jeffrey, et al.
Published: (2025)
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging
by: Shen, Li, et al.
Published: (2024)
by: Shen, Li, et al.
Published: (2024)
Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning
by: Lee, Yeoreum, et al.
Published: (2025)
by: Lee, Yeoreum, et al.
Published: (2025)
From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging
by: Wu, Jialin, et al.
Published: (2025)
by: Wu, Jialin, et al.
Published: (2025)
Multi-Task Model Merging via Adaptive Weight Disentanglement
by: Xiong, Feng, et al.
Published: (2024)
by: Xiong, Feng, et al.
Published: (2024)
Parameter Competition Balancing for Model Merging
by: Du, Guodong, et al.
Published: (2024)
by: Du, Guodong, et al.
Published: (2024)
LARV: Data-Free Layer-wise Adaptive Rescaling Veneer for Model Merging
by: Wang, Xinyu, et al.
Published: (2026)
by: Wang, Xinyu, et al.
Published: (2026)
DC-Merge: Improving Model Merging with Directional Consistency
by: Zhang, Han-Chen, et al.
Published: (2026)
by: Zhang, Han-Chen, et al.
Published: (2026)
AdaMerging: Adaptive Model Merging for Multi-Task Learning
by: Yang, Enneng, et al.
Published: (2023)
by: Yang, Enneng, et al.
Published: (2023)
Assessing the Generalizability of Deep Neural Networks-Based Models for Black Skin Lesions
by: Barros, Luana, et al.
Published: (2023)
by: Barros, Luana, et al.
Published: (2023)
Towards Reversible Model Merging For Low-rank Weights
by: Alipour, Mohammadsajad, et al.
Published: (2025)
by: Alipour, Mohammadsajad, et al.
Published: (2025)
Saliency-Aware Model Merging
by: Park, Jungin, et al.
Published: (2026)
by: Park, Jungin, et al.
Published: (2026)
CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
by: Yang, Huitong, et al.
Published: (2025)
by: Yang, Huitong, et al.
Published: (2025)
Analysis of Classifier-Free Guidance Weight Schedulers
by: Wang, Xi, et al.
Published: (2024)
by: Wang, Xi, et al.
Published: (2024)
Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2025)
by: Kim, Taehoon, et al.
Published: (2025)
Minimizing Risk Through Minimizing Model-Data Interaction: A Protocol For Relying on Proxy Tasks When Designing Child Sexual Abuse Imagery Detection Models
by: Coelho, Thamiris, et al.
Published: (2025)
by: Coelho, Thamiris, et al.
Published: (2025)
Efficient Multi-Source Knowledge Transfer by Model Merging
by: Osial, Marcin, et al.
Published: (2025)
by: Osial, Marcin, et al.
Published: (2025)
CubistMerge: Spatial-Preserving Token Merging For Diverse ViT Backbones
by: Gong, Wenyi, et al.
Published: (2025)
by: Gong, Wenyi, et al.
Published: (2025)
Localizing Task Information for Improved Model Merging and Compression
by: Wang, Ke, et al.
Published: (2024)
by: Wang, Ke, et al.
Published: (2024)
Understanding Multimodal Hallucination with Parameter-Free Representation Alignment
by: Wang, Yueqian, et al.
Published: (2024)
by: Wang, Yueqian, et al.
Published: (2024)
Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
by: Roy, Ayush, et al.
Published: (2025)
by: Roy, Ayush, et al.
Published: (2025)
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging
by: Kim, Jinuk, et al.
Published: (2024)
by: Kim, Jinuk, et al.
Published: (2024)
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
by: Bollis, Edson, et al.
Published: (2021)
by: Bollis, Edson, et al.
Published: (2021)
ZipIt! Merging Models from Different Tasks without Training
by: Stoica, George, et al.
Published: (2023)
by: Stoica, George, et al.
Published: (2023)
ATM: Improving Model Merging by Alternating Tuning and Merging
by: Zhou, Luca, et al.
Published: (2024)
by: Zhou, Luca, et al.
Published: (2024)
Offline Meteorology-Pollution Coupling Global Air Pollution Forecasting Model with Bilinear Pooling
by: Fan, Xu, et al.
Published: (2025)
by: Fan, Xu, et al.
Published: (2025)
RegCL: Continual Adaptation of Segment Anything Model via Model Merging
by: Shu, Yuan-Chen, et al.
Published: (2025)
by: Shu, Yuan-Chen, et al.
Published: (2025)
From Pixels to Patches: Pooling Strategies for Earth Embeddings
by: Corley, Isaac, et al.
Published: (2026)
by: Corley, Isaac, et al.
Published: (2026)
Pooling Image Datasets With Multiple Covariate Shift and Imbalance
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
by: Chytas, Sotirios Panagiotis, et al.
Published: (2024)
SSAM: Singular Subspace Alignment for Merging Multimodal Large Language Models
by: Reza, Md Kaykobad, et al.
Published: (2026)
by: Reza, Md Kaykobad, et al.
Published: (2026)
Revitalizing the Beginning: Avoiding Storage Dependency for Model Merging in Continual Learning
by: Wang, Xi, et al.
Published: (2026)
by: Wang, Xi, et al.
Published: (2026)
Training-Free Acceleration of ViTs with Delayed Spatial Merging
by: Heo, Jung Hwan, et al.
Published: (2023)
by: Heo, Jung Hwan, et al.
Published: (2023)
Realistic Evaluation of Model Merging for Compositional Generalization
by: Tam, Derek, et al.
Published: (2024)
by: Tam, Derek, et al.
Published: (2024)
Stay Unique, Stay Efficient: Preserving Model Personality in Multi-Task Merging
by: Guo, Kuangpu, et al.
Published: (2025)
by: Guo, Kuangpu, et al.
Published: (2025)
Similar Items
-
Bridging Domains through Subspace-Aware Model Merging
by: Chaves, Levy, et al.
Published: (2026) -
Back to the Basics on Predicting Transfer Performance
by: Chaves, Levy, et al.
Published: (2024) -
EMR-Merging: Tuning-Free High-Performance Model Merging
by: Huang, Chenyu, et al.
Published: (2024) -
Learning to Weight Parameters for Training Data Attribution
by: Li, Shuangqi, et al.
Published: (2025) -
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
by: Tang, Anke, et al.
Published: (2024)