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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 3076–3100 of 9051 papers

TitleStatusHype
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy—0
Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice—0
Embracing Diversity: Interpretable Zero-shot classification beyond one vector per class—0
Localization, epidemic transitions, and unpredictability of multistrain epidemics with an underlying genotype network—0
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection—0
Interactions and migration rescuing ecological diversity—0
Emergent competition shapes the ecological properties of multi-trophic ecosystems—0
Emergent cooperative behavior in transient compartments—0
Emergent memory in cell signaling: Persistent adaptive dynamics in cascades can arise from the diversity of relaxation time-scales—0
Emergent properties with repeated examples—0
Emerging Diversity in a Population of Evolving Intransitive Dice—0
Diversity and Inclusion Metrics in Subset Selection—0
Emoji-based Fine-grained Attention Network for Sentiment Analysis in the Microblog Comments—0
A Common Framework for Interactive Texture Transfer—0
Emotional Dimension Control in Language Model-Based Text-to-Speech: Spanning a Broad Spectrum of Human Emotions—0
Evolutionary multiplayer games on graphs with edge diversity—0
Emotion Embeddings x2014 Learning Stable and Homogeneous Abstractions from Heterogeneous Affective Datasets—0
EMOTION: Expressive Motion Sequence Generation for Humanoid Robots with In-Context Learning—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
EmpHi: Generating Empathetic Responses with Human-like Intents—0
Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization—0
CLearViD: Curriculum Learning for Video Description—0
Empirical evidence of Large Language Model's influence on human spoken communication—0
CLEP-GAN: An Innovative Approach to Subject-Independent ECG Reconstruction from PPG Signals—0
Diversity and Inclusion Index with Networks and Similarity: Analysis and its Application—0
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