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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 5951–5975 of 9051 papers

TitleStatusHype
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models—0
UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment—0
UCTGAN: Diverse Image Inpainting Based on Unsupervised Cross-Space Translation—0
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition—0
UINav: A Practical Approach to Train On-Device Automation Agents—0
Ultrasound Image Segmentation of Thyroid Nodule via Latent Semantic Feature Co-Registration—0
Ultrasound Image Synthesis Using Generative AI for Lung Ultrasound Detection—0
Ultra-Wideband Antenna with MIMO Diversity for 5G Wireless Communication—0
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition—0
Uncertainty And Evolutionary Optimization: A Novel Approach—0
Uncertainty-Aware Deep Video Compression with Ensembles—0
Uncertainty Awareness in Wireless Communications and Sensing—0
Uncertainty-Driven Action Quality Assessment—0
Uncertainty Meets Diversity: A Comprehensive Active Learning Framework for Indoor 3D Object Detection—0
Uncertainty Quantification for Atlas-Level Cell Type Transfer—0
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach—0
Uncertainty Sentence Sampling by Virtual Adversarial Perturbation—0
UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations—0
Unconditional Diffusion Guidance—0
Uncorrelation and Evenness: a New Diversity-Promoting Regularizer—0
Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs—0
Fast uncovering of protein sequence diversity from structure—0
Understanding and Estimating Domain Complexity Across Domains—0
Understanding and Evaluating Hallucinations in 3D Visual Language Models—0
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