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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 1851–1875 of 9051 papers

TitleStatusHype
ControlVAE: Controllable Variational Autoencoder—0
Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle—0
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling—0
A K-means-based Multi-subpopulation Particle Swarm Optimization for Neural Network Ensemble—0
Consistent Multiple Sequence Decoding—0
Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics—0
Controlling biases and diversity in diverse image-to-image translation—0
Controlling Character Motions without Observable Driving Source—0
AI Competitions and Benchmarks: Competition platforms—0
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density—0
Consistent Flow Distillation for Text-to-3D Generation—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
AIBench Scenario: Scenario-distilling AI Benchmarking—0
Convergence and Diversity in the Control Hierarchy—0
Conversational AI-Powered Design: ChatGPT as Designer, User, and Product—0
A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector—0
ATM-R: An Adaptive Tradeoff Model with Reference Points for Constrained Multiobjective Evolutionary Optimization—0
A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization—0
Convex Markov Games: A New Frontier for Multi-Agent Reinforcement Learning—0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
Consistency and Diversity induced Human Motion Segmentation—0
Reliable and diverse evaluation of LLM medical knowledge mastery—0
A tool for computing diversity and consideration on differences between diversity indices—0
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting—0
Navigating Text-to-Image Generative Bias across Indic Languages—0
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