《Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing》(NeurIPS 2023) GitHub: github.com/wangkai930418/DPL《GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels》(NeurIPS 2023) GitHub: github.com/Amanda-Zheng/GNNEvaluator...
一体化恢复旨在使用单个统一模型恢复具有未知退化的图像。最近的进展,如AirNet和PromptIR,分别通过采用对比学习和隐式视觉提示技术解决了一体化恢复的挑战。具体来说,最先进的PromptIR在解码器端采用隐式提示来学习降级感知提示,旨在完善解码器功能。这种方法虽然很有趣,但并没有扩展到编码器特征的细化,因为编码器特征是...
In addition, DPaRL jointly learns dynamic prompt generation and discriminative representation at each training stage whereas prior PCL methods only refine the prompt learning throughout the process. Our experimental results demonstrate the superiority of our approach, surpassing state-of-the-art methods ...
PromptPG: Prompt Selection via Policy Gradient Data and code for our ICLR 2023 PaperDynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. For more details, please refer to the project page with dataset exploration and visualization tools:https://promptpg.github.io. ...
both Prompt generator and Query generator are devised with its reason, there we elaborate them. 5. A Case, hospital building Basic info: comprising 42,000+ building objects, 675 facility assets, with rich and structured properties. Fig 7. Implementation Process for BIMS-GPT ...
ACL 2022: OpenPrompt: An Open-source Framework for Prompt-learning 27 -- 32:02 App ACL 2022GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented D 8 -- 23:35 App ACL 2022 SOCIOFILLMORE: A Tool for Discovering Perspectives 103 -- 25:04 App ACL 2022TopWORDS-Seg: Simultaneou...
Methods and systems for prompt tuning include training (204) a tuning function to set prompt position, prompt length, or prompt pool based on a language processing task. The tuning function is applied (224) to an input query to generate a combined input, with prompt text having the prompt ...
and rapidly changing resource demand. We therefore propose PROMPT, a novel resource allocation framework using proactive QoS prediction to guide a reinforcement learning controller. PROMPT enables more precise resource optimization, more consistent handling of transient behaviors, and more robust generalization...
Adapting machine learning models to non-stationary environments is challenging due to evolving domain shifts. Test-time adaptation (TTA) methods address th... Mahmood Karimian,Hamid Beigy - Information Sciences 被引量: 0发表: 2025年 CTPT: Continual Test-time Prompt Tuning for vision-language mode...
ignoring the diverse traditional or learning-based codecs in the practical application, e.g., HEVC, VVC, HIFIC, etc. In this work, we propose the first universal CSR framework, dubbed UCIP, with dynamic prompt learning, intending to jointly support the CSR distortions of any compression codecs...