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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 7001–7025 of 9051 papers

TitleStatusHype
Multi-Task Multi-Behavior MAP-Elites—0
Multi-task multi-constraint differential evolution with elite-guided knowledge transfer for coal mine integrated energy system dispatching—0
Multi-Task Reinforcement Learning Enables Parameter Scaling—0
Multi-ToM: Evaluating Multilingual Theory of Mind Capabilities in Large Language Models—0
Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer—0
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?—0
Multi-View Multiple Clusterings using Deep Matrix Factorization—0
Multiword Expressions Dataset for Indian Languages—0
MUNCH: Modelling Unique 'N Controllable Heads—0
MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach—0
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs—0
Music2Dance: DanceNet for Music-driven Dance Generation—0
Music-to-Dance Generation with Optimal Transport—0
MUSS: Multilevel Subset Selection for Relevance and Diversity—0
Mutation enhances cooperation in direct reciprocity—0
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
MVTec D2S: Densely Segmented Supermarket Dataset—0
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration—0
Named-Entity Based Sentiment Analysis of Nepali News Media Texts—0
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task—0
Natural Language Generation for Advertising: A Survey—0
Natural Language Processing in Customer Service: A Systematic Review—0
Natural Language to Code Generation in Interactive Data Science Notebooks—0
Naturally Private Recommendations with Determinantal Point Processes—0
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