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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 4101–4125 of 9051 papers

TitleStatusHype
Human Motion Synthesis_ A Diffusion Approach for Motion Stitching and In-Betweening—0
Human Stone Toolmaking Action Grammar (HSTAG): A Challenging Benchmark for Fine-grained Motor Behavior Recognition—0
Diverse and Lifespan Facial Age Transformation Synthesis with Identity Variation Rationality Metric—0
Diverse and Fine-Grained Instruction-Following Ability Exploration with Synthetic Data—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
Diverse and Effective Red Teaming with Auto-generated Rewards and Multi-step Reinforcement Learning—0
A new flower pollination algorithm for equalization in synchronous DS/CDMA multiuser communication systems—0
Diverse and Consistent Multi-view Networks for Semi-supervised Regression—0
Diverse and Coherent Paragraph Generation from Images—0
Bit Error Rate Analysis of M-ARY PSK and M-ARY QAM Over Rician Fading Channel—0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers—0
Diverse Agents for Ad-Hoc Cooperation in Hanabi—0
Diverse 3D Human Pose Generation in Scenes based on Decoupled Structure—0
Social Diversity and Spread of Pandemic: Evidence from India—0
A new efficient Matching method for web services substitution—0
Human Joint Kinematics Diffusion-Refinement for Stochastic Motion Prediction—0
DiverGAN: An Efficient and Effective Single-Stage Framework for Diverse Text-to-Image Generation—0
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima—0
A new dataset of dog breed images and a benchmark for fine-grained classification—0
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos—0
Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment—0
Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching—0
DivCon-NeRF: Generating Augmented Rays with Diversity and Consistency for Few-shot View Synthesis—0
A New Data Normalization Method to Improve Dialogue Generation by Minimizing Long Tail Effect—0
Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing—0
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