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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 2401–2425 of 9051 papers

TitleStatusHype
Global News Synchrony and Diversity During the Start of the COVID-19 PandemicCode0
Modeling Caption Diversity in Contrastive Vision-Language PretrainingCode1
Why does Knowledge Distillation Work? Rethink its Attention and Fidelity MechanismCode0
Soft Prompt Generation for Domain GeneralizationCode1
Flight Trajectory Prediction Using an Enhanced CNN-LSTM Network—0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design—0
DELINE8K: A Synthetic Data Pipeline for the Semantic Segmentation of Historical DocumentsCode0
PACER+: On-Demand Pedestrian Animation Controller in Driving Scenarios—0
Coupling in situ and remote sensing data to assess α- and β-diversity over biogeographic gradients—0
Diversity in the radiation-induced transcriptomic temporal response of mouse brain tissue regions—0
Integrating Present and Past in Unsupervised Continual LearningCode0
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
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
A Comprehensive Evaluation on Event Reasoning of Large Language ModelsCode0
SDFD: Building a Versatile Synthetic Face Image Dataset with Diverse Attributes—0
Conceptual Mapping of Controversies—0
WheelPose: Data Synthesis Techniques to Improve Pose Estimation Performance on Wheelchair UsersCode0
Grad Queue : A probabilistic framework to reinforce sparse gradients—0
Synthesizing Audio from Silent Video using Sequence to Sequence ModelingCode0
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks—0
ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity PreservingCode5
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