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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

Showing 20012025 of 9051 papers

TitleStatusHype
Multi-Agent Reinforcement Learning with Focal Diversity OptimizationCode0
CULTURE-GEN: Revealing Global Cultural Perception in Language Models through Natural Language PromptingCode0
Multi-Dialect Vietnamese: Task, Dataset, Baseline Models and ChallengesCode0
Multi-Emitter MAP-Elites: Improving quality, diversity and convergence speed with heterogeneous sets of emittersCode0
Image Captioning via Dynamic Path CustomizationCode0
Curiosity as a Self-Supervised Method to Improve Exploration in De novo Drug DesignCode0
Image Harmonization Dataset iHarmony4: HCOCO, HAdobe5k, HFlickr, and Hday2nightCode0
Colorful Image ColorizationCode0
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN FrameworkCode0
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement LearningCode0
Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial NetworksCode0
Curls & Whey: Boosting Black-Box Adversarial AttacksCode0
Illumination Spectrum Estimation for Multispectral Images via Surface Reflectance Modeling and Spatial-Spectral Feature GenerationCode0
CollectiveSFT: Scaling Large Language Models for Chinese Medical Benchmark with Collective Instructions in HealthcareCode0
IIITT@DravidianLangTech-EACL2021: Transfer Learning for Offensive Language Detection in Dravidian LanguagesCode0
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in TransformersCode0
Illuminating the Diversity-Fitness Trade-Off in Black-Box OptimizationCode0
Im2Pencil: Controllable Pencil Illustration from PhotographsCode0
Importance of Search and Evaluation Strategies in Neural Dialogue ModelingCode0
IDEA: Increasing Text Diversity via Online Multi-Label Recognition for Vision-Language Pre-trainingCode0
IDIAP Submission@LT-EDI-ACL2022: Homophobia/Transphobia Detection in social media commentsCode0
HyperTuner: A Cross-Layer Multi-Objective Hyperparameter Auto-Tuning Framework for Data Analytic ServicesCode0
IDIAP Submission@LT-EDI-ACL2022 : Hope Speech Detection for Equality, Diversity and InclusionCode0
Multi-Objective Quality Diversity OptimizationCode0
Hyperparameter Auto-tuning in Self-Supervised Robotic LearningCode0
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