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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 7576–7600 of 9051 papers

TitleStatusHype
Variation-Aware Semantic Image Synthesis—0
SM^3: Self-Supervised Multi-task Modeling with Multi-view 2D Images for Articulated Objects—0
Smaller, Weaker, Yet Better: Training LLM Reasoners via Compute-Optimal Sampling—0
Smartphone Multi-modal Biometric Authentication: Database and Evaluation—0
Smart Reply: Automated Response Suggestion for Email—0
SMART: Simultaneous Multi-Agent Recurrent Trajectory Prediction—0
5G framework concepts for the next generation networks—0
Smirk: An Atomically Complete Tokenizer for Molecular Foundation Models—0
AgroXAI: Explainable AI-Driven Crop Recommendation System for Agriculture 4.0—0
Variations on Memetic Algorithms for Graph Coloring Problems—0
Agricultural Economics and Innovation in the Inca Empire—0
SMRT Chatbots: Improving Non-Task-Oriented Dialog with Simulated Multiple Reference Training—0
SMT(LIA) Sampling with High Diversity—0
Snapshot Difference Imaging using Time-of-Flight Sensors—0
SNIDA: Unlocking Few-Shot Object Detection with Non-linear Semantic Decoupling Augmentation—0
A graphical framework to detect and categorize diverse opinions from online news—0
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data—0
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement—0
SOA_NLP@LT-EDI-ACL2022: An Ensemble Model for Hope Speech Detection from YouTube Comments—0
SoccerSynth-Detection: A Synthetic Dataset for Soccer Player Detection—0
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition—0
Social and Semantic Diversity: Socio-semantic Representation of a Scientific Corpus—0
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems—0
Social diversity and social preferences in mixed-motive reinforcement learning—0
Social diversity for reducing the impact of information cascades on social learning—0
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