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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 3176–3200 of 9051 papers

TitleStatusHype
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training—0
Enhancing Optimization Through Innovation: The Multi-Strategy Improved Black Widow Optimization Algorithm (MSBWOA)—0
Coalescent dynamics of planktonic communities—0
Enhancing performance of coherent OTDR systems with polarization diversity complementary codes—0
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions—0
Advanced Signal Processing Techniques for Fixed and Mobile Satellite Communications—0
Enhancing Recommendation Diversity by Re-ranking with Large Language Models—0
Diversity and coevolutionary dynamics in high-dimensional phenotype spaces—0
Diversity and bias in audio captioning datasets—0
COBRA: COmBinatorial Retrieval Augmentation for Few-Shot Adaptation—0
Enhancing Robustness of Pre-trained Language Model with Lexical Simplification—0
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Bregman Centroid Guided Cross-Entropy Method—0
A Framework to Handle Multi-modal Multi-objective Optimization in Decomposition-based Evolutionary Algorithms—0
Enhancing Synthetic Oversampling for Imbalanced Datasets Using Proxima-Orion Neighbors and q-Gaussian Weighting Technique—0
Enhancing Targeted Attack Transferability via Diversified Weight Pruning—0
CodeFusion: A Pre-trained Diffusion Model for Code Generation—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
3D Neural Field Generation using Triplane Diffusion—0
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense—0
Exploring Diverse Expressions for Paraphrase Generation—0
Enhancing the long-term performance of recommender system—0
Diversity-Achieving Slow-DropBlock Network for Person Re-Identification—0
DiversiTree: A New Method to Efficiently Compute Diverse Sets of Near-Optimal Solutions to Mixed-Integer Optimization Problems—0
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