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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 1826–1850 of 9051 papers

TitleStatusHype
Constraint-based Diversification of JOP Gadgets—0
Contrastive Positive Mining for Unsupervised 3D Action Representation Learning—0
Assessment of Practical Smart Gateway Diversity Based on Multi-Site Measurements in Q/V band—0
Contrastive Speaker-Aware Learning for Multi-party Dialogue Generation with LLMs—0
Embracing Diversity: A Multi-Perspective Approach with Soft Labels—0
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification—0
DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks—0
Contribution à l'Optimisation d'un Comportement Collectif pour un Groupe de Robots Autonomes—0
Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems—0
Deep Generative Models for 3D Medical Image Synthesis—0
Controllable and Diverse Data Augmentation with Large Language Model for Low-Resource Open-Domain Dialogue Generation—0
Controllable and Diverse Text Generation in E-commerce—0
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient—0
Controllable Data Augmentation for Context-Dependent Text-to-SQL—0
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward—0
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Controllable Exploration of a Design Space via Interactive Quality Diversity—0
Deep Reinforcement Learning with Quantum-inspired Experience Replay—0
Controllable Inversion of Black-Box Face Recognition Models via Diffusion—0
A systematic dataset generation technique applied to data-driven automotive aerodynamics—0
Constrained Pseudo-market Equilibrium—0
Constrained Interacting Submodular Groupings—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
Consistent Multiple Sequence Decoding—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
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