12 datasets found

The dataset used in the paper is a personalized news recommendation dataset. The goal is to learn to recommend articles to any user (depending on their contextual features) to...

The dataset used in the paper is a user-item interaction graph, where each edge represents a user-item interaction.

The dataset used in the paper is a user-item interaction graph, where each edge represents a user-item interaction.

The dataset used in the paper is a large online video game distribution platform. The dataset contains 2,567,538 users, 15,474 games and 7,793,069 English reviews spanning...

Consider a platform that wants to learn a personalized policy for each user, but the platform faces the risk of a user abandoning the platform if she is dissatisfied with the...

Key-locked rank one editing for text-to-image personalization.

The dataset used in this paper for testing the effectiveness of the disguise generation algorithm.

Textual Inversion: An image is worth one word: Personalizing text-to-image generation using textual inversion.

CatVersion allows users to learn the personalized concept through a handful of examples and then utilize text prompts to generate images that embody the personalized concept.

The CustomConcept101 dataset is a dataset of 101 concepts across 16 broader categories, used for evaluating personalization approaches in text-to-image diffusion models.

The dataset used in the paper is a collection of 50 images of individuals, used for personalizing a 3D generative model.

The dataset used in the paper is a text-to-image diffusion model, specifically Stable Diffusion. The authors used this model to generate images from text prompts and evaluated...