Image de couverture de livre

Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ye, Zesheng, Cai, Chengyi, Dong, Ruijiang, Qi, Jianzhong, Feng, Lei, Chen, Pin-Yu, Liu, Feng
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Understanding Model Reprogramming for CLIP via Decoupling Visual Prompts
par: Cai, Chengyi, et autres
Publié: (2025)

Sample-specific Masks for Visual Reprogramming-based Prompting
par: Cai, Chengyi, et autres
Publié: (2024)

Attribute-based Visual Reprogramming for Vision-Language Models
par: Cai, Chengyi, et autres
Publié: (2025)

Bayesian-guided Label Mapping for Visual Reprogramming
par: Cai, Chengyi, et autres
Publié: (2024)

Visual-Guided Key-Token Regularization for Multimodal Large Language Model Unlearning
par: Cai, Chengyi, et autres
Publié: (2026)

Per-parameter Task Arithmetic for Unlearning in Large Language Models
par: Cai, Chengyi, et autres
Publié: (2026)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
par: Zhang, Jiahan, et autres
Publié: (2024)

Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
par: Zhang, Yunbei, et autres
Publié: (2026)

Universal Prompt Tuning for Graph Neural Networks
par: Fang, Taoran, et autres
Publié: (2022)

CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs
par: Wang, Feiyang, et autres
Publié: (2025)

Edge Prompt Tuning for Graph Neural Networks
par: Fu, Xingbo, et autres
Publié: (2025)

RadioLLM: Introducing Large Language Model into Cognitive Radio via Hybrid Prompt and Token Reprogrammings
par: Chen, Shuai, et autres
Publié: (2025)

FlowBERT: Prompt-tuned BERT for variable flow field prediction
par: Zou, Weihao, et autres
Publié: (2025)

Prompt-based Unifying Inference Attack on Graph Neural Networks
par: Wei, Yuecen, et autres
Publié: (2024)

Model Reprogramming Demystified: A Neural Tangent Kernel Perspective
par: Chung, Ming-Yu, et autres
Publié: (2025)

Controllable Prompt Tuning For Balancing Group Distributional Robustness
par: Phan, Hoang, et autres
Publié: (2024)

M$^2$PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
par: Wang, Taowen, et autres
Publié: (2024)

Model Reprogramming Outperforms Fine-tuning on Out-of-distribution Data in Text-Image Encoders
par: Geng, Andrew, et autres
Publié: (2024)

DynaPrompt: Dynamic Test-Time Prompt Tuning
par: Xiao, Zehao, et autres
Publié: (2025)

PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks
par: Ge, Qingqing, et autres
Publié: (2023)

Test-Time Multimodal Backdoor Detection by Contrastive Prompting
par: Niu, Yuwei, et autres
Publié: (2024)

SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
par: Luo, Jinglong, et autres
Publié: (2025)

Self-Pro: A Self-Prompt and Tuning Framework for Graph Neural Networks
par: Gong, Chenghua, et autres
Publié: (2023)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
par: Yan, Jun, et autres
Publié: (2023)

AutoVP: An Automated Visual Prompting Framework and Benchmark
par: Tsao, Hsi-Ai, et autres
Publié: (2023)

MAGPrompt: Message-Adaptive Graph Prompt Tuning for Graph Neural Networks
par: Nguyen, Long D., et autres
Publié: (2026)

Differentiable Prompt Learning for Vision Language Models
par: Huang, Zhenhan, et autres
Publié: (2024)

IPGO: Indirect Prompt Gradient Optimization for Parameter-Efficient Prompt-level Fine-Tuning on Text-to-Image Models
par: Ye, Jianping, et autres
Publié: (2025)

Instruction Fine-Tuning: Does Prompt Loss Matter?
par: Huerta-Enochian, Mathew, et autres
Publié: (2024)

Patch-Prompt Aligned Bayesian Prompt Tuning for Vision-Language Models
par: Liu, Xinyang, et autres
Publié: (2023)

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
par: Chen, Haibo, et autres
Publié: (2026)

When Does Visual Prompting Outperform Linear Probing for Vision-Language Models? A Likelihood Perspective
par: Tsao, Hsi-Ai, et autres
Publié: (2024)

Big2Small: A Unifying Neural Network Framework for Model Compression
par: Liao, Jing-Xiao, et autres
Publié: (2026)

Let's Roll a BiFTA: Bi-refinement for Fine-grained Text-visual Alignment in Vision-Language Models
par: Sun, Yuhao, et autres
Publié: (2026)

A Unified Graph Selective Prompt Learning for Graph Neural Networks
par: Jiang, Bo, et autres
Publié: (2024)

Personalized Federated Instruction Tuning via Neural Architecture Search
par: Zhang, Pengyu, et autres
Publié: (2024)

DeCoOp: Robust Prompt Tuning with Out-of-Distribution Detection
par: Zhou, Zhi, et autres
Publié: (2024)

Multi-branch Spatio-Temporal Graph Neural Network For Efficient Ice Layer Thickness Prediction
par: Liu, Zesheng, et autres
Publié: (2024)

Learning Spatio-Temporal Patterns of Polar Ice Layers With Physics-Informed Graph Neural Network
par: Liu, Zesheng, et autres
Publié: (2024)

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
par: Dong, Zijian, et autres
Publié: (2024)