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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 6751–6775 of 9051 papers

TitleStatusHype
Prototype Fission: Closing Set for Robust Open-set Semi-supervised Learning—0
A Note on Species Richness and the Variance of Epidemic Severity—0
A Categorized Reflection Removal Dataset with Diverse Real-world Scenes—0
Provable Hierarchy-Based Meta-Reinforcement Learning—0
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study—0
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples—0
Provenance-Based Assessment of Plans in Context—0
Provenance-Based Interpretation of Multi-Agent Information Analysis—0
Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning—0
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks—0
An Optimism-based Approach to Online Evaluation of Generative Models—0
A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents—0
Pruning variable selection ensembles—0
Unravelling Technical debt topics through Time, Programming Languages and Repository—0
Pseudo-positive regularization for deep person re-identification—0
Pseudo-Zernike Based Multi-Pass Automatic Target Recognition From Multi-Channel SAR—0
PSGText: Stroke-Guided Scene Text Editing with PSP Module—0
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition—0
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning—0
A Nonlocal InSAR Filter for High-Resolution DEM Generation from TanDEM-X Interferograms—0
PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation—0
PubSE: A Hierarchical Model for Publication Extraction from Academic Homepages—0
A Nonlinear African Vulture Optimization Algorithm Combining Henon Chaotic Mapping Theory and Reverse Learning Competition Strategy—0
An Online Approach to Dynamic Channel Access and Transmission Scheduling—0
Pushing the limits of self-supervised speaker verification using regularized distillation framework—0
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