Cover Image

Graph Your Own Prompt

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ding, Xi, Wang, Lei, Koniusz, Piotr, Gao, Yongsheng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Time in Static Classifiers
by: Ding, Xi, et al.
Published: (2025)

Subspace Kernel Learning on Tensor Sequences
by: Wang, Lei, et al.
Published: (2026)

Video Understanding by Design: How Datasets Shape Architectures and Insights
by: Wang, Lei, et al.
Published: (2025)

Uncertainty-DTW for Sequences and Visual Tokens
by: Wang, Lei, et al.
Published: (2026)

Feature Hallucination for Self-supervised Action Recognition
by: Wang, Lei, et al.
Published: (2025)

Motion meets Attention: Video Motion Prompts
by: Chen, Qixiang, et al.
Published: (2024)

Learnable Expansion of Graph Operators for Multi-Modal Feature Fusion
by: Ding, Dexuan, et al.
Published: (2024)

Adaptive Multi-head Contrastive Learning
by: Wang, Lei, et al.
Published: (2023)

Trust-Aware Joint Feature-Prediction Discrepancy for Robust Domain Adaptation
by: Ding, Xi, et al.
Published: (2026)

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
by: Wang, Lei, et al.
Published: (2024)

Pre-training with Random Orthogonal Projection Image Modeling
by: Haghighat, Maryam, et al.
Published: (2023)

Possibilistic Predictive Uncertainty for Deep Learning
by: Ni, Yao, et al.
Published: (2026)

ICED: Concept-level Machine Unlearning via Interpretable Concept Decomposition
by: Lin, Shen, et al.
Published: (2026)

Hierarchically Robust Zero-shot Vision-language Models
by: Dong, Junhao, et al.
Published: (2026)

Do Language Models Understand Time?
by: Ding, Xi, et al.
Published: (2024)

Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight
by: Ding, Xi, et al.
Published: (2024)

Privacy-Aware Video Anomaly Detection through Orthogonal Subspace Projection
by: Wang, Lei, et al.
Published: (2026)

Noise Consistency Regularization for Improved Subject-Driven Image Synthesis
by: Ni, Yao, et al.
Published: (2025)

CHAIN: Enhancing Generalization in Data-Efficient GANs via lipsCHitz continuity constrAIned Normalization
by: Ni, Yao, et al.
Published: (2024)

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction
by: Xiao, Xi, et al.
Published: (2024)

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

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
by: Tan, Zhaorui, et al.
Published: (2024)

UniGame: Turning a Unified Multimodal Model Into Its Own Adversary
by: Su, Zhaolong, et al.
Published: (2025)

Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models
by: Liao, Yi, et al.
Published: (2024)

TraNCE: Transformative Non-linear Concept Explainer for CNNs
by: Akpudo, Ugochukwu Ejike, et al.
Published: (2025)

ORAL: Prompting Your Large-Scale LoRAs via Conditional Recurrent Diffusion
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)

Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representations
by: Zhang, Yiyuan, et al.
Published: (2024)

VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
by: Sarch, Gabriel, et al.
Published: (2024)

PACE: Marrying generalization in PArameter-efficient fine-tuning with Consistency rEgularization
by: Ni, Yao, et al.
Published: (2024)

Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
by: Chen, Yi-Chung, et al.
Published: (2025)

Federated Domain Generalization via Prompt Learning and Aggregation
by: Gong, Shuai, et al.
Published: (2024)

When Spatial meets Temporal in Action Recognition
by: Chen, Huilin, et al.
Published: (2024)

Your Image Generator Is Your New Private Dataset
by: Resmini, Nicolo, et al.
Published: (2025)

Tree of Attributes Prompt Learning for Vision-Language Models
by: Ding, Tong, et al.
Published: (2024)

Image Captions are Natural Prompts for Text-to-Image Models
by: Lei, Shiye, et al.
Published: (2023)

Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model
by: Dong, Zijian, et al.
Published: (2024)

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data
by: Zhang, Jiahan, et al.
Published: (2024)

LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2024)

SPARKE: Scalable Prompt-Aware Diversity and Novelty Guidance in Diffusion Models via RKE Score
by: Jalali, Mohammad, et al.
Published: (2025)

Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency
by: Liu, Junming, et al.
Published: (2026)