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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 5876–5900 of 9051 papers

TitleStatusHype
A Supervised Segmentation Network for Hyperspectral Image Classification—0
Multiview Aerial Visual Recognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?—0
Position: AI/ML Influencers Have a Place in the Academic Process—0
A study of quality and diversity in K+1 GANs—0
Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions—0
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?—0
Multi-View Multiple Clusterings using Deep Matrix Factorization—0
Multiword Expressions Dataset for Indian Languages—0
MUNCH: Modelling Unique 'N Controllable Heads—0
When Less Is More: A Sparse Facial Motion Structure For Listening Motion Learning—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
A study of conceptual language similarity: comparison and evaluation—0
Twitter Bot Detection using Diversity Measures—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
Two-Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization—0
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification—0
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data—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
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