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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 8576–8600 of 9051 papers

TitleStatusHype
Diversity and Novelty MasterPrints: Generating Multiple DeepMasterPrints for Increased User Coverage—0
Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations—0
Diversity and Sparsity: A New Perspective on Index Tracking—0
Diversity and stylization of the contemporary user-generated visual arts in the complexity-entropy plane—0
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data—0
A document processing pipeline for the construction of a dataset for topic modeling based on the judgments of the Italian Supreme Court—0
Diversity-Aware Agnostic Ensemble of Sharpness Minimizers—0
ADLM -- stega: A Universal Adaptive Token Selection Algorithm for Improving Steganographic Text Quality via Information Entropy—0
Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation—0
Composing Molecules with Multiple Property Constraints—0
Diversity-aware clustering: Computational Complexity and Approximation Algorithms—0
Tailor: An Integrated Text-Driven CG-Ready Human and Garment Generation System—0
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation—0
Beyond Simple Averaging: Improving NLP Ensemble Performance with Topological-Data-Analysis-Based Weighting—0
Diversity-aware Event Prediction based on a Conditional Variational Autoencoder with Reconstruction—0
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control—0
Diversity-Aware k-Maximum Inner Product Search Revisited—0
Compose Like Humans: Jointly Improving the Coherence and Novelty for Modern Chinese Poetry Generation—0
Diversity-aware Multi-Video Summarization—0
Diversity-Aware Policy Optimization for Large Language Model Reasoning—0
Diversity-Aware Reinforcement Learning for de novo Drug Design—0
Tailoring Generative Adversarial Networks for Smooth Airfoil Design—0
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