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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 4276–4300 of 9051 papers

TitleStatusHype
Diffusion Model with Perceptual Loss—0
An Empirical Comparison of Sampling Quality Metrics: A Case Study for Bayesian Nonnegative Matrix Factorization—0
A Classification-Based Study of Covariate Shift in GAN Distributions—0
Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff—0
Deep Generative Models for Library Augmentation in Multiple Endmember Spectral Mixture Analysis—0
Beyond Conservatism: Diffusion Policies in Offline Multi-agent Reinforcement Learning—0
Diffusion Model for Slate Recommendation—0
An Empirical Bayes Framework for Open-Domain Dialogue Generation—0
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient—0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
Beyond Comparing Image Pairs: Setwise Active Learning for Relative Attributes—0
A Decomposition-Based Many-Objective Evolutionary Algorithm with Local Iterative Update—0
Diffusion Meets Options: Hierarchical Generative Skill Composition for Temporally-Extended Tasks—0
Diffusion-like recommendation with enhanced similarity of objects—0
Diffusion Least Mean Square: Simulations—0
Beyond Blur: A Fluid Perspective on Generative Diffusion Models—0
An Empirical Analysis of Diversity in Argument Summarization—0
Improving Data Efficiency via Curating LLM-Driven Rating Systems—0
Improving Distribution Alignment with Diversity-based Sampling—0
DiffusionDialog: A Diffusion Model for Diverse Dialog Generation with Latent Space—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
Diffusion Deepfake—0
A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm—0
Improving Contrastive Learning on Visually Homogeneous Mars Rover Images—0
Diffusion-based Target Sampler for Unsupervised Domain Adaptation—0
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