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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 5801–5825 of 9051 papers

TitleStatusHype
A Swiss German Dictionary: Variation in Speech and Writing—0
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback—0
A Survey on Visual Anomaly Detection: Challenge, Approach, and Prospect—0
Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark—0
Multimodal Semantic-Aware Automatic Colorization with Diffusion Prior—0
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions—0
Multi-modular domain-tailored OCR post-correction—0
Multi-Novelty: Improve the Diversity and Novelty of Contents Generated by Large Language Models via inference-time Multi-Views Brainstorming—0
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems—0
Multi-objective Cat Swarm Optimization Algorithm based on a Grid System—0
Multi-objective Consensus Clustering Framework for Flight Search Recommendation—0
A Survey on Self-Evolution of Large Language Models—0
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation—0
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality—0
A Survey on Backbones for Deep Video Action Recognition—0
Multi-objective Memetic Algorithm with Adaptive Weights for Inverse Antenna Design—0
Multi Objective Particle Swarm Optimization based Cooperative Agents with Automated Negotiation—0
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics—0
Trying AGAIN instead of Trying Longer: Prior Learning for Automatic Curriculum Learning—0
On the Efficacy of Generalization Error Prediction Scoring Functions—0
TSMD: A Database for Static Color Mesh Quality Assessment Study—0
Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions—0
Multipath Exploitation for Fluctuating Target Detection in RIS-Assisted ISAC Systems—0
Multipath Identification and Mitigation with FDA-MIMO Radar—0
Multi-perspective Alignment for Increasing Naturalness in Neural Machine Translation—0
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