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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 8601–8650 of 9051 papers

TitleStatusHype
Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder—0
Diversity-aware social robots meet people: beyond context-aware embodied AI—0
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling—0
Diversity-aware Web APIs Recommendation with Compatibility Guarantee—0
A Diversity-Enhanced and Constraints-Relaxed Augmentation for Low-Resource Classification—0
Voice EHR: Introducing Multimodal Audio Data for Health—0
Diversity-based Design Assist for Large Legged Robots—0
Diversity Based Edge Pruning of Neural Networks Using Determinantal Point Processes—0
Voice of a Continent: Mapping Africa's Speech Technology Frontier—0
Diversity-Based Recruitment in Crowdsensing By Combinatorial Multi-Armed Bandits—0
Composable Core-sets for Diversity Approximation on Multi-Dataset Streams—0
Diversity Boosted Learning for Domain Generalization with Large Number of Domains—0
A Diversity-Aware Domain Development Methodology—0
A Diverse Clustering Particle Swarm Optimizer for Dynamic Environment: To Locate and Track Multiple Optima—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
Diversity, Density, and Homogeneity: Quantitative Characteristic Metrics for Text Collections—0
A Distributed Local Energy Market Clearing Framework Using a Two-Loop ADMM Method—0
A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning—0
Diversity-driven Data Selection for Language Model Tuning through Sparse Autoencoder—0
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning—0
A Discrete CVAE for Response Generation on Short-Text Conversation—0
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Diversity driven Query Rewriting in Search Advertising—0
Diversity-Driven Selection of Exploration Strategies in Multi-Armed Bandits—0
Taking the Scenic Route: Automatic Exploration for Videogames—0
Diversity Drives Fairness: Ensemble of Higher Order Mutants for Intersectional Fairness of Machine Learning Software—0
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents—0
Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction—0
Composable Core-sets for Determinant Maximization: A Simple Near-Optimal Algorithm—0
Diversity-Enhanced Condensation Algorithm and Its Application for Robust and Accurate Endoscope Three-Dimensional Motion Tracking—0
Taming and Leveraging Interference in Mobile Radar Networks—0
Diversity Enhanced Table-to-Text Generation via Type Control—0
Diversity Enhancement for Micro-Differential Evolution—0
Diversity Enhancement via Magnitude—0
Diversity Enhances an LLM's Performance in RAG and Long-context Task—0
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation—0
A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning—0
Diversity-Fair Online Selection—0
Diversity for Contingency: Learning Diverse Behaviors for Efficient Adaptation and Transfer—0
Diversity from Human Feedback—0
Diversity-grounded Channel Prototypical Learning for Out-of-Distribution Intent Detection—0
ComPO: Community Preferences for Language Model Personalization—0
Complexity and Diversity in Sparse Code Priors Improve Receptive Field Characterization of Macaque V1 Neurons—0
Diversity Handling In Evolutionary Landscape—0
Diversity Helps Jailbreak Large Language Models—0
Diversity improves performance in excitable networks—0
Diversity in Action: General-Sum Multi-Agent Continuous Inverse Optimal Control—0
Diversity in Choice as Majorization—0
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