:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Xinyu, Deng, Ke, Dou, Fei, Bi, Jinbo, Lu, Jin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	https://arxiv.org/abs/2602.09413
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Layer-wise Model Merging for Unsupervised Domain Adaptation in Segmentation Tasks
by: Alcover-Couso, Roberto, et al.
Published: (2024)

Label-Free Cross-Task LoRA Merging with Null-Space Compression
by: Lee, Wonyoung, et al.
Published: (2026)

Zero-Shot Transfer Capabilities of the Sundial Foundation Model for Leaf Area Index Forecasting
by: Zhang, Peining, et al.
Published: (2025)

AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
by: Lee, Chanhyuk, et al.
Published: (2025)

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning
by: Yu, Yang, et al.
Published: (2023)

ATM: Improving Model Merging by Alternating Tuning and Merging
by: Zhou, Luca, et al.
Published: (2024)

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion
by: Li, Jiawei, et al.
Published: (2024)

Training-Free Acceleration of ViTs with Delayed Spatial Merging
by: Heo, Jung Hwan, et al.
Published: (2023)

LP-DETR: Layer-wise Progressive Relations for Object Detection
by: Kang, Zhengjian, et al.
Published: (2025)

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

Explaining Model Overfitting in CNNs via GMM Clustering
by: Dou, Hui, et al.
Published: (2024)

Representation Surgery for Multi-Task Model Merging
by: Yang, Enneng, et al.
Published: (2024)

Parallel Rescaling: Rebalancing Consistency Guidance for Personalized Diffusion Models
by: Chae, JungWoo, et al.
Published: (2025)

Merging without Forgetting: Continual Fusion of Task-Specific Models via Optimal Transport
by: Pan, Zecheng, et al.
Published: (2025)

EP-CFG: Energy-Preserving Classifier-Free Guidance
by: Zhang, Kai, et al.
Published: (2024)

Bridging Domains through Subspace-Aware Model Merging
by: Chaves, Levy, et al.
Published: (2026)

Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy
by: Jeong, Wooseong, et al.
Published: (2026)

A Cascading Cooperative Multi-agent Framework for On-ramp Merging Control Integrating Large Language Models
by: Zhang, Miao, et al.
Published: (2025)

LayeredDoc: Domain Adaptive Document Restoration with a Layer Separation Approach
by: Pilligua, Maria, et al.
Published: (2024)

Continual Learning in Vision-Language Models via Aligned Model Merging
by: Sokar, Ghada, et al.
Published: (2025)

Anchoring and Rescaling Attention for Semantically Coherent Inbetweening
by: Choi, Tae Eun, et al.
Published: (2026)

MagMax: Leveraging Model Merging for Seamless Continual Learning
by: Marczak, Daniel, et al.
Published: (2024)

Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition
by: Zhang, Shuo, et al.
Published: (2026)

Exploring Model Kinship for Merging Large Language Models
by: Hu, Yedi, et al.
Published: (2024)

PA-Net: Precipitation-Adaptive Mixture-of-Experts for Long-Tail Rainfall Nowcasting
by: Xiao, Xinyu, et al.
Published: (2026)

VEDA: 3D Molecular Generation via Variance-Exploding Diffusion with Annealing
by: Zhang, Peining, et al.
Published: (2025)

Adaptive Pareto-Optimal Token Merging for Edge Transformer Models in Semantic Communication
by: Erak, Omar, et al.
Published: (2025)

An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration
by: Siomos, Vasilis, et al.
Published: (2024)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models
by: Xia, Shi-Yu, et al.
Published: (2024)

LLaVA-Zip: Adaptive Visual Token Compression with Intrinsic Image Information
by: Wang, Ke, et al.
Published: (2024)

Accelerating Diffusion Transformers with Token-wise Feature Caching
by: Zou, Chang, et al.
Published: (2024)

LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models
by: Yu, Shu, et al.
Published: (2025)

LayerCache: Exploiting Layer-wise Velocity Heterogeneity for Efficient Flow Matching Inference
by: Li, Guandong
Published: (2026)

Parameter Competition Balancing for Model Merging
by: Du, Guodong, et al.
Published: (2024)

Adaptive Token Merging for Efficient Transformer Semantic Communication at the Edge
by: Erak, Omar, et al.
Published: (2025)

VISA: Group-wise Visual Token Selection and Aggregation via Graph Summarization for Efficient MLLMs Inference
by: Jiang, Pengfei, et al.
Published: (2025)

Convolutional Channel-wise Competitive Learning for the Forward-Forward Algorithm
by: Papachristodoulou, Andreas, et al.
Published: (2023)

CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
by: Nikzad, Nick, et al.
Published: (2024)

DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture
by: Xiang, Qianlong, et al.
Published: (2024)