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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 3626–3650 of 9051 papers

TitleStatusHype
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
Integrating Present and Past in Unsupervised Continual LearningCode0
Coupling in situ and remote sensing data to assess α- and β-diversity over biogeographic gradients—0
Large Language Models as Conversational Movie Recommenders: A User Study—0
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation—0
Diversity in the radiation-induced transcriptomic temporal response of mouse brain tissue regions—0
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving ScenesCode0
Empowering Large Language Models for Textual Data Augmentation—0
Prompting Towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot—0
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes—0
A Comprehensive Evaluation on Event Reasoning of Large Language ModelsCode0
Synthesizing Audio from Silent Video using Sequence to Sequence ModelingCode0
Conditional Distribution Modelling for Few-Shot Image Synthesis with Diffusion Models—0
Conceptual Mapping of Controversies—0
Improving Diversity of Commonsense Generation by Large Language Models via In-Context LearningCode0
Grad Queue : A probabilistic framework to reinforce sparse gradients—0
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior—0
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples—0
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair UsersCode0
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class—0
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks—0
Large Language Models as In-context AI Generators for Quality-Diversity—0
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code—0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
Annotator-Centric Active Learning for Subjective NLP TasksCode0
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