Saved in:
| Main Authors: | Chen, Yaqi, Huang, Shixun, Twemlow, Ryan, Wang, Lei, Le, John, Wang, Sheng, Susilo, Willy, Yan, Jun, Shen, Jun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.00399 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Hybrid Deep Learning based Carbon Price Forecasting Framework with Structural Breakpoints Detection and Signal Denoising
by: Ren, Runsheng, et al.
Published: (2025)
by: Ren, Runsheng, et al.
Published: (2025)
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
by: Lv, Weijie, et al.
Published: (2024)
by: Lv, Weijie, et al.
Published: (2024)
Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
by: Jiang, Yongqi, et al.
Published: (2024)
by: Jiang, Yongqi, et al.
Published: (2024)
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
by: Zheng, Mengxin, et al.
Published: (2023)
by: Zheng, Mengxin, et al.
Published: (2023)
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)
by: Dong, Xiangyu, et al.
Published: (2024)
Rehearsal-free and Task-free Online Continual Learning With Contrastive Prompt
by: Wang, Aopeng, et al.
Published: (2025)
by: Wang, Aopeng, et al.
Published: (2025)
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
by: Jiang, Haitian, et al.
Published: (2023)
by: Jiang, Haitian, et al.
Published: (2023)
BTW: A Non-Parametric Variance Stabilization Framework for Multimodal Model Integration
by: Hou, Jun, et al.
Published: (2025)
by: Hou, Jun, et al.
Published: (2025)
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RL
by: Luo, Qin-Wen, et al.
Published: (2024)
by: Luo, Qin-Wen, et al.
Published: (2024)
Universal Prompt Tuning for Graph Neural Networks
by: Fang, Taoran, et al.
Published: (2022)
by: Fang, Taoran, et al.
Published: (2022)
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
by: Yan, Jun, et al.
Published: (2023)
by: Yan, Jun, et al.
Published: (2023)
The Final Layer Holds the Key: A Unified and Efficient GNN Calibration Framework
by: Huang, Jincheng, et al.
Published: (2025)
by: Huang, Jincheng, et al.
Published: (2025)
DynaPrompt: Dynamic Test-Time Prompt Tuning
by: Xiao, Zehao, et al.
Published: (2025)
by: Xiao, Zehao, et al.
Published: (2025)
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs
by: Zhu, Zhongshu, et al.
Published: (2024)
by: Zhu, Zhongshu, et al.
Published: (2024)
Domain-Skewed Federated Learning with Feature Decoupling and Calibration
by: Wang, Huan, et al.
Published: (2026)
by: Wang, Huan, et al.
Published: (2026)
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
by: Liu, Renjie, et al.
Published: (2024)
by: Liu, Renjie, et al.
Published: (2024)
Transferable FB-GNN-MBE Framework for Potential Energy Surfaces: Data-Adaptive Transfer Learning in Deep Learned Many-Body Expansion Theory
by: Chen, Siqi, et al.
Published: (2026)
by: Chen, Siqi, et al.
Published: (2026)
FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning
by: Wang, Huan, et al.
Published: (2025)
by: Wang, Huan, et al.
Published: (2025)
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs
by: Liu, Jiahui, et al.
Published: (2024)
by: Liu, Jiahui, et al.
Published: (2024)
Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)
by: Jiang, Bo, et al.
Published: (2025)
Localized exploration in contextual dynamic pricing achieves dimension-free regret
by: Chai, Jinhang, et al.
Published: (2024)
by: Chai, Jinhang, et al.
Published: (2024)
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
by: Wang, Huan, et al.
Published: (2025)
by: Wang, Huan, et al.
Published: (2025)
Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)
by: Zong, Chen-Chen, et al.
Published: (2026)
Improving Generalization of Deep Neural Networks by Optimum Shifting
by: Zhou, Yuyan, et al.
Published: (2024)
by: Zhou, Yuyan, et al.
Published: (2024)
Controllable Prompt Tuning For Balancing Group Distributional Robustness
by: Phan, Hoang, et al.
Published: (2024)
by: Phan, Hoang, et al.
Published: (2024)
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
Neural Network Reprogrammability: A Unified Theme on Model Reprogramming, Prompt Tuning, and Prompt Instruction
by: Ye, Zesheng, et al.
Published: (2025)
by: Ye, Zesheng, et al.
Published: (2025)
PromptFix: Few-shot Backdoor Removal via Adversarial Prompt Tuning
by: Zhang, Tianrong, et al.
Published: (2024)
by: Zhang, Tianrong, et al.
Published: (2024)
Physics-Aware Heterogeneous GNN Architecture for Real-Time BESS Optimization in Unbalanced Distribution Systems
by: Ma, Aoxiang, et al.
Published: (2025)
by: Ma, Aoxiang, et al.
Published: (2025)
Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
by: Le, Minh, et al.
Published: (2025)
by: Le, Minh, et al.
Published: (2025)
Deep Learning in Renewable Energy Forecasting: A Cross-Dataset Evaluation of Temporal and Spatial Models
by: Sua, Lutfu, et al.
Published: (2025)
by: Sua, Lutfu, et al.
Published: (2025)
a¿Qué es el diseño gr fico? 2 : manual de diseño / Alice Twemlow ; versión castellana Carmela D vila
by: Twemlow, Alice
by: Twemlow, Alice
Reflect then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion
by: Zhao, Dong, et al.
Published: (2025)
by: Zhao, Dong, et al.
Published: (2025)
ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP
by: Wang, Zhiyuan, et al.
Published: (2025)
by: Wang, Zhiyuan, et al.
Published: (2025)
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection
by: Leeney, William, et al.
Published: (2023)
by: Leeney, William, et al.
Published: (2023)
DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules
by: Du, Hongwei, et al.
Published: (2025)
by: Du, Hongwei, et al.
Published: (2025)
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
by: Hua, Cong, et al.
Published: (2025)
by: Hua, Cong, et al.
Published: (2025)
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
by: Sheng, Guangming, et al.
Published: (2024)
by: Sheng, Guangming, et al.
Published: (2024)
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
by: Zhang, Peiyan, et al.
Published: (2024)
by: Zhang, Peiyan, et al.
Published: (2024)
Similar Items
-
A Hybrid Deep Learning based Carbon Price Forecasting Framework with Structural Breakpoints Detection and Signal Denoising
by: Ren, Runsheng, et al.
Published: (2025) -
CodeACT: Code Adaptive Compute-efficient Tuning Framework for Code LLMs
by: Lv, Weijie, et al.
Published: (2024) -
Intellectual Property Protection for Deep Learning Model and Dataset Intelligence
by: Jiang, Yongqi, et al.
Published: (2024) -
TrojFSP: Trojan Insertion in Few-shot Prompt Tuning
by: Zheng, Mengxin, et al.
Published: (2023) -
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)