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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 4476–4500 of 9051 papers

TitleStatusHype
Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective—0
Intelligent Reflecting Surfaces assisted Laser-based Optical Wireless Communication Networks—0
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions—0
Designing Air Flow with Surrogate-assisted Phenotypic Niching—0
Behaviorally Diverse Traffic Simulation via Reinforcement Learning—0
Design Diversity for Improving Efficiency and Reducing Risk in Oil and Gas Well Stimulation under Uncertain Reservoir Conditions—0
Design and Performance Analysis of a New STBC-MIMO LoRa System—0
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation—0
Analyzing and Overcoming Local Optima in Complex Multi-Objective Optimization by Decomposition-Based Evolutionary Algorithms—0
Design and Evaluation of the Corpus of Everyday Japanese Conversation—0
Design and Analysis of Diversity-Based Parent Selection Schemes for Speeding Up Evolutionary Multi-objective Optimisation—0
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners—0
Analyzing and controlling diversity in quantum-behaved particle swarm optimization—0
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN—0
A Character-Centric Creative Story Generation via Imagination—0
Integrating User History into Heterogeneous Graph for Dialogue Act Recognition—0
Intelligence Graph—0
IntenT5: Search Result Diversification using Causal Language Models—0
DE/RM-MEDA: A New Hybrid Multi-Objective Generator—0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition—0
Spatial Structure Supports Diversity in Prebiotic Autocatalytic Chemical Ecosystems—0
Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum—0
Unsourced Adversarial CAPTCHA: A Bi-Phase Adversarial CAPTCHA Framework—0
Becoming More Robust to Label Noise with Classifier Diversity—0
Density Descent for Diversity Optimization—0
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