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Found 5 papers, 3 papers with code
Matching The Statements: A Simple and Accurate Model for Key Point Analysis
Key Point Analysis (KPA) is one of the most essential tasks in building an Opinion Summarization system, which is capable of generating key points for a collection of arguments toward a particular topic.
Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation
A practical solution is to selectively removing target concepts from the model, but this may impact the remaining concepts.
Connective Viewpoints of Signal-to-Noise Diffusion Models
Diffusion models (DM) have become fundamental components of generative models, excelling across various domains such as image creation, audio generation, and complex data interpolation.
Removing Undesirable Concepts in Text-to-Image Diffusion Models with Learnable Prompts
By transferring this knowledge to the prompt, erasing undesirable concepts becomes more stable and has minimal negative impact on other concepts.
Class-Prototype Conditional Diffusion Model with Gradient Projection for Continual Learning
To address this, we propose the Gradient Projection Class-Prototype Conditional Diffusion Model (GPPDM), a GR-based approach for continual learning that enhances image quality in generators and thus reduces the CF in classifiers.
