Visual prompting, an efficient method for transfer learning, has shown its potential in vision tasks. However, previous works focus exclusively on VP from standard source models, it is still unknown how it performs under the scenario of a robust source model: Whether a visual prompt derived from...
Visual Prompting for Adversarial Robustness Phoveran/vp-for-adversarial-robustness • • 12 Oct 2022 In this work, we leverage visual prompting (VP) to improve adversarial robustness of a fixed, pre-trained model at testing time. 2 Paper Code ...
Open-evals - A framework extend openai's Evals for different language model. Cursor - Write, edit, and chat about your code with a powerful AI. Prompting libraries & tools YiVal— Evaluate and Evolve: YiVal is an open-source GenAI-Ops tool for tuning and evaluating prompts, configurations,...
TARP-VP: Towards Evaluation of Transferred Adversarial Robustness and Privacy on Label Mapping Visual Prompting Models - TrustAI/TARP-VP
9.DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting 10.A Roadmap for Big Model 我的标签 深度学习课程笔记(18) Nature Paper(8) Adversrial ML(6) Beam Search(5) Script(4) Natural Language Processing(4) Deep learning framework issues(4) Image Caption(3) ...
Neubig, “Pretrain, prompt, and predict: A systematic survey of prompting20 methods in natural language processing,” ACM Computing Surveys, 2023. [268] Y. Xian, C. H. Lampert, B. Schiele, and Z. Akata, “Zero-shot learning—a comprehensive evaluation of the good, the bad and the ...
[Interspeech-2023] Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization Authors: Puyuan Peng, Brian Yan, Shinji Watanabe, David Harwath Institution: The University of Texas at Austin; Carnegie Mellon University [Interspeech-2023] Improving the Gap in Visual Sp...
[Interspeech-2023] Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization Authors: Puyuan Peng, Brian Yan, Shinji Watanabe, David Harwath Institution: The University of Texas at Austin; Carnegie Mellon University [Interspeech-2023] Improving the Gap in Visual Sp...
The results achieved using the developed models are not indicative of the success rate of a potential product-grade solution. However, during the testing phase, the performance metrics achieved are promising, prompting consideration of necessary improvements to enhance the quality of the results. As ...