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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 6951–6975 of 9051 papers

TitleStatusHype
An Exhaustive Evaluation of TTS- and VC-based Data Augmentation for ASR—0
Reddit: A Gold Mine for Personality Prediction—0
ReDDiT: Rehashing Noise for Discrete Visual Generation—0
Redrawing attendance boundaries to promote racial and ethnic diversity in elementary schools—0
Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games—0
A new system-wide diversity measure for recommendations with efficient algorithms—0
Reducing Diversity to Generate Hierarchical Archetypes—0
Unsupervised Paraphrasing by Simulated Annealing—0
Reducing false positives in strong lens detection through effective augmentation and ensemble learning—0
Preventing Value Function Collapse in Ensemble Q-Learning by Maximizing Representation Diversity—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Reducing Popularity Bias in Recommendation Over Time—0
Reducing the Mutual Outage Probability of Cooperative Non-Orthogonal Multiple Access—0
Reducing the Scope of Language Models—0
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search—0
Redundancy Aware Multi-Reference Based Gainwise Evaluation of Extractive Summarization—0
Label-Based Diversity Measure Among Hidden Units of Deep Neural Networks: A Regularization Method—0
ReelFramer: Human-AI Co-Creation for News-to-Video Translation—0
A new system for evaluating brand importance: A use case from the fashion industry—0
Reference-Guided Verdict: LLMs-as-Judges in Automatic Evaluation of Free-Form Text—0
Self-paced Multi-grained Cross-modal Interaction Modeling for Referring Expression Comprehension—0
A News Recommender System Considering Temporal Dynamics and Diversity—0
Regional Adversarial Training for Better Robust Generalization—0
Region-level Active Detector Learning—0
Regularized Attentive Capsule Network for Overlapped Relation Extraction—0
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